CRAN Package Check Results for Maintainer ‘Dominique Makowski <officialeasystats at gmail.com>’

Last updated on 2025-12-28 03:52:13 CET.

Package	ERROR	NOTE	OK
bayestestR			13
insight	2	1	10
modelbased	1		12
parameters	1	2	10
performance	1		12

Package bayestestR

Current CRAN status: OK: 13

Package insight

Current CRAN status: ERROR: 2, NOTE: 1, OK: 10

Version: 1.4.4
Check: examples
Result: ERROR Running examples in 'insight-Ex.R' failed The error most likely occurred in: > ### Name: get_datagrid.emmGrid > ### Title: Extract a reference grid from objects created by '{emmeans}' and > ### '{marginaleffects}' > ### Aliases: get_datagrid.emmGrid > > ### ** Examples > > data("mtcars") > mtcars$cyl <- factor(mtcars$cyl) > > mod <- glm(am ~ cyl + hp + wt, + family = binomial("logit"), + data = mtcars + ) > > ## Don't show: > if (insight::check_if_installed("emmeans", quietly = TRUE)) withAutoprint({ # examplesIf + ## End(Don't show) + em1 <- emmeans::emmeans(mod, ~ cyl + hp, at = list(hp = c(100, 150))) + get_datagrid(em1) + + contr1 <- emmeans::contrast(em1, method = "consec", by = "hp") + get_datagrid(contr1) + + eml1 <- emmeans::emmeans(mod, pairwise ~ cyl | hp, at = list(hp = c(100, 150))) + get_datagrid(eml1) # not a "true" grid + ## Don't show: + }) # examplesIf > em1 <- emmeans::emmeans(mod, ~cyl + hp, at = list(hp = c(100, 150))) > get_datagrid(em1) cyl hp 1 4 100 2 6 100 3 8 100 4 4 150 5 6 150 6 8 150 > contr1 <- emmeans::contrast(em1, method = "consec", by = "hp") > get_datagrid(contr1) contrast hp 1 cyl6 - cyl4 100 2 cyl8 - cyl6 100 3 cyl6 - cyl4 150 4 cyl8 - cyl6 150 > eml1 <- emmeans::emmeans(mod, pairwise ~ cyl | hp, at = list(hp = c(100, + 150))) > get_datagrid(eml1) hp cyl contrast 1 100 4 <NA> 2 100 6 <NA> 3 100 8 <NA> 4 150 4 <NA> 5 150 6 <NA> 6 150 8 <NA> 7 100 <NA> cyl4 - cyl6 8 100 <NA> cyl4 - cyl8 9 100 <NA> cyl6 - cyl8 10 150 <NA> cyl4 - cyl6 11 150 <NA> cyl4 - cyl8 12 150 <NA> cyl6 - cyl8 > ## End(Don't show) > ## Don't show: > if (insight::check_if_installed("marginaleffects", quietly = TRUE, minimum_version = "0.29.0")) withAutoprint({ # examplesIf + ## End(Don't show) + mfx1 <- marginaleffects::slopes(mod, variables = "hp") + get_datagrid(mfx1) # not a "true" grid + + mfx2 <- marginaleffects::slopes(mod, variables = c("hp", "wt"), by = "am") + get_datagrid(mfx2) + + contr2 <- marginaleffects::avg_comparisons(mod) + get_datagrid(contr2) # not a "true" grid + ## Don't show: + }) # examplesIf > mfx1 <- marginaleffects::slopes(mod, variables = "hp") Error in `[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp) : attempt access index 19/19 in VECTOR_ELT Calls: withAutoprint ... <Anonymous> -> do.call -> get_comparisons -> [ -> [.data.table Execution halted Flavor: r-devel-windows-x86_64

Version: 1.4.4
Check: tests
Result: ERROR Running 'testthat.R' [175s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(insight) > test_check("insight") Starting 2 test processes. > test-find_transformation.R: boundary (singular) fit: see help('isSingular') > test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 365.2328 > test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 365.1292 > test-gamlss.R: GAMLSS-RS iteration 3: Global Deviance = 365.1269 > test-gamlss.R: GAMLSS-RS iteration 4: Global Deviance = 365.1268 > test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 5779.746 > test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 5779.746 > test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 703.1164 > test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 703.1164 > test-get_model.R: Loading required namespace: GPArotation > test-get_random.R: boundary (singular) fit: see help('isSingular') Saving _problems/test-get_datagrid-486.R Saving _problems/test-get_datagrid-1143.R > test-glmmPQL.R: iteration 1 > test-is_converged.R: boundary (singular) fit: see help('isSingular') > test-mmrm.R: mmrm() registered as emmeans extension > test-mmrm.R: mmrm() registered as car::Anova extension > test-model_info.R: boundary (singular) fit: see help('isSingular') > test-nestedLogit.R: list(work = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, > test-nestedLogit.R: 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, > test-nestedLogit.R: 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, > test-nestedLogit.R: 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, > test-nestedLogit.R: 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, > test-nestedLogit.R: 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, > test-nestedLogit.R: 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L > test-nestedLogit.R: ), full = c(1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, > test-nestedLogit.R: 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, > test-nestedLogit.R: 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)) > test-polr.R: > test-polr.R: Re-fitting to get Hessian > test-polr.R: > test-polr.R: > test-polr.R: Re-fitting to get Hessian > test-polr.R: > test-survey_coxph.R: Stratified Independent Sampling design (with replacement) > test-survey_coxph.R: dpbc <- survey::svydesign( > test-survey_coxph.R: id = ~1, > test-survey_coxph.R: prob = ~randprob, > test-survey_coxph.R: strata = ~edema, > test-survey_coxph.R: data = subset(pbc, randomized) > test-survey_coxph.R: ) > test-survey_coxph.R: Stratified Independent Sampling design (with replacement) > test-survey_coxph.R: dpbc <- survey::svydesign( > test-survey_coxph.R: id = ~1, > test-survey_coxph.R: prob = ~randprob, > test-survey_coxph.R: strata = ~edema, > test-survey_coxph.R: data = subset(pbc, randomized) > test-survey_coxph.R: ) > test-survey_coxph.R: Stratified Independent Sampling design (with replacement) > test-survey_coxph.R: dpbc <- survey::svydesign( > test-survey_coxph.R: id = ~1, > test-survey_coxph.R: prob = ~randprob, > test-survey_coxph.R: strata = ~edema, > test-survey_coxph.R: data = subset(pbc, randomized) > test-survey_coxph.R: ) [ FAIL 2 | WARN 2 | SKIP 93 | PASS 3609 ] ══ Skipped tests (93) ══════════════════════════════════════════════════════════ • On CRAN (89): 'test-GLMMadaptive.R:2:1', 'test-averaging.R:1:1', 'test-bias_correction.R:1:1', 'test-blmer.R:262:3', 'test-betareg.R:197:5', 'test-brms_aterms.R:1:1', 'test-brms.R:1:1', 'test-brms_gr_random_effects.R:1:1', 'test-brms_missing.R:1:1', 'test-brms_mm.R:1:1', 'test-brms_von_mises.R:1:1', 'test-clean_names.R:109:3', 'test-clean_parameters.R:1:1', 'test-coxme.R:1:1', 'test-cpglmm.R:152:3', 'test-clmm.R:170:3', 'test-display.R:1:1', 'test-display.R:15:1', 'test-export_table.R:3:1', 'test-export_table.R:7:1', 'test-export_table.R:134:3', 'test-export_table.R:164:3', 'test-export_table.R:193:1', 'test-export_table.R:278:1', 'test-export_table.R:296:3', 'test-export_table.R:328:3', 'test-export_table.R:385:1', 'test-export_table.R:406:3', 'test-export_table.R:470:3', 'test-find_random.R:43:3', 'test-fixest.R:2:1', 'test-format_table.R:2:1', 'test-find_smooth.R:39:3', 'test-format_table_ci.R:72:1', 'test-gam.R:2:1', 'test-get_data.R:507:1', 'test-get_loglikelihood.R:143:3', 'test-get_loglikelihood.R:223:3', 'test-get_predicted.R:2:1', 'test-get_priors.R:1:1', 'test-get_varcov.R:43:3', 'test-get_varcov.R:57:3', 'test-get_datagrid.R:1068:3', 'test-get_datagrid.R:1105:5', 'test-is_converged.R:47:1', 'test-iv_robust.R:120:3', 'test-lavaan.R:1:1', 'test-lcmm.R:1:1', 'test-lme.R:28:3', 'test-lme.R:212:3', 'test-glmmTMB.R:67:3', 'test-glmmTMB.R:767:3', 'test-glmmTMB.R:803:3', 'test-glmmTMB.R:1142:3', 'test-marginaleffects.R:1:1', 'test-mgcv.R:1:1', 'test-mipo.R:1:1', 'test-mlogit.R:1:1', 'test-model_info.R:106:3', 'test-modelbased.R:1:1', 'test-mvrstanarm.R:1:1', 'test-null_model.R:85:3', 'test-panelr-asym.R:165:3', 'test-panelr.R:301:3', 'test-phylolm.R:1:1', 'test-print_parameters.R:1:1', 'test-r2_nakagawa_bernoulli.R:1:1', 'test-r2_nakagawa_beta.R:1:1', 'test-r2_nakagawa_binomial.R:1:1', 'test-r2_nakagawa_gamma.R:1:1', 'test-r2_nakagawa_linear.R:1:1', 'test-r2_nakagawa_negbin.R:1:1', 'test-r2_nakagawa_negbin_zi.R:1:1', 'test-r2_nakagawa_ordered_beta.R:1:1', 'test-r2_nakagawa_poisson.R:1:1', 'test-r2_nakagawa_poisson_zi.R:1:1', 'test-r2_nakagawa_truncated_poisson.R:1:1', 'test-r2_nakagawa_tweedie.R:1:1', 'test-rlmer.R:276:3', 'test-rms.R:1:1', 'test-rqss.R:1:1', 'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-selection.R:2:1', 'test-spatial.R:2:1', 'test-svylme.R:1:1', 'test-tidymodels.R:1:1', 'test-vgam.R:2:1', 'test-weightit.R:1:1' • Package `logistf` is loaded and breaks `mmrm::mmrm()` (1): 'test-mmrm.R:4:1' • works interactively (2): 'test-coxph-panel.R:34:3', 'test-coxph.R:38:3' • {bigglm} is not installed (1): 'test-model_info.R:24:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-get_datagrid.R:481:3'): get_datagrid - marginaleffects ───────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 17/17 in VECTOR_ELT Backtrace: ▆ 1. └─marginaleffects::comparisons(...) at test-get_datagrid.R:481:3 2. ├─base::do.call("get_comparisons", args) 3. └─marginaleffects:::get_comparisons(...) 4. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 5. └─data.table:::`[.data.table`(...) ── Error ('test-get_datagrid.R:1143:3'): get_datagrid - marginaleffects, avg_slopes, non-Bayesian ── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 19/19 in VECTOR_ELT Backtrace: ▆ 1. └─marginaleffects::comparisons(...) 2. ├─base::do.call("get_comparisons", args) 3. └─marginaleffects:::get_comparisons(...) 4. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 5. └─data.table:::`[.data.table`(...) [ FAIL 2 | WARN 2 | SKIP 93 | PASS 3609 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64

Version: 1.4.4
Check: tests
Result: ERROR Running 'testthat.R' [23s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(insight) > test_check("insight") Starting 2 test processes. > test-coxph.R: Error: ! testthat subprocess exited in file 'test-coxph.R'. Caused by error: ! R session crashed with exit code -1073741819 Backtrace: ▆ 1. └─testthat::test_check("insight") 2. └─testthat::test_dir(...) 3. └─testthat:::test_files(...) 4. └─testthat:::test_files_parallel(...) 5. ├─withr::with_dir(...) 6. │ └─base::force(code) 7. ├─testthat::with_reporter(...) 8. │ └─base::tryCatch(...) 9. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 10. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 11. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 12. └─testthat:::parallel_event_loop_chunky(queue, reporters, ".") 13. └─queue$poll(Inf) 14. └─base::lapply(...) 15. └─testthat (local) FUN(X[[i]], ...) 16. └─private$handle_error(msg, i) 17. └─cli::cli_abort(...) 18. └─rlang::abort(...) Execution halted Flavor: r-release-windows-x86_64

Version: 1.4.4
Check: package dependencies
Result: NOTE Package suggested but not available for checking: 'fungible' Flavor: r-oldrel-windows-x86_64

Package modelbased

Current CRAN status: ERROR: 1, OK: 12

Version: 0.13.1
Check: examples
Result: ERROR Running examples in 'modelbased-Ex.R' failed The error most likely occurred in: > ### Name: estimate_slopes > ### Title: Estimate Marginal Effects > ### Aliases: estimate_slopes > > ### ** Examples > > ## Don't show: > if (all(insight::check_if_installed(c("marginaleffects", "emmeans", "effectsize", "mgcv", "ggplot2", "see"), quietly = TRUE))) withAutoprint({ # examplesIf + ## End(Don't show) + library(ggplot2) + # Get an idea of the data + ggplot(iris, aes(x = Petal.Length, y = Sepal.Width)) + + geom_point(aes(color = Species)) + + geom_smooth(color = "black", se = FALSE) + + geom_smooth(aes(color = Species), linetype = "dotted", se = FALSE) + + geom_smooth(aes(color = Species), method = "lm", se = FALSE) + + # Model it + model <- lm(Sepal.Width ~ Species * Petal.Length, data = iris) + # Compute the marginal effect of Petal.Length at each level of Species + slopes <- estimate_slopes(model, trend = "Petal.Length", by = "Species") + slopes + + # What is the *average* slope of Petal.Length? This can be calculated by + # taking the average of the slopes across all Species, using `comparison`. + # We pass a function to `comparison` that calculates the mean of the slopes. + estimate_slopes( + model, + trend = "Petal.Length", + by = "Species", + comparison = ~I(mean(x)) + ) + + ## Not run: + ##D # Plot it + ##D plot(slopes) + ##D standardize(slopes) + ##D + ##D model <- mgcv::gam(Sepal.Width ~ s(Petal.Length), data = iris) + ##D slopes <- estimate_slopes(model, by = "Petal.Length", length = 50) + ##D summary(slopes) + ##D plot(slopes) + ##D + ##D model <- mgcv::gam(Sepal.Width ~ s(Petal.Length, by = Species), data = iris) + ##D slopes <- estimate_slopes(model, + ##D trend = "Petal.Length", + ##D by = c("Petal.Length", "Species"), length = 20 + ##D ) + ##D summary(slopes) + ##D plot(slopes) + ##D + ##D # marginal effects, grouped by Species, at different values of Petal.Length + ##D estimate_slopes(model, + ##D trend = "Petal.Length", + ##D by = c("Petal.Length", "Species"), length = 10 + ##D ) + ##D + ##D # marginal effects at different values of Petal.Length + ##D estimate_slopes(model, trend = "Petal.Length", by = "Petal.Length", length = 10) + ##D + ##D # marginal effects at very specific values of Petal.Length + ##D estimate_slopes(model, trend = "Petal.Length", by = "Petal.Length=c(1, 3, 5)") + ##D + ##D # average marginal effects of Petal.Length, + ##D # just for the trend within a certain range + ##D estimate_slopes(model, trend = "Petal.Length=seq(2, 4, 0.01)") + ## End(Not run) + ## Don't show: + }) # examplesIf > library(ggplot2) > ggplot(iris, aes(x = Petal.Length, y = Sepal.Width)) + geom_point(aes(color = Species)) + + geom_smooth(color = "black", se = FALSE) + geom_smooth(aes(color = Species), + linetype = "dotted", se = FALSE) + geom_smooth(aes(color = Species), method = "lm", + se = FALSE) `geom_smooth()` using method = 'loess' and formula = 'y ~ x' `geom_smooth()` using method = 'loess' and formula = 'y ~ x' `geom_smooth()` using formula = 'y ~ x' > model <- lm(Sepal.Width ~ Species * Petal.Length, data = iris) > slopes <- estimate_slopes(model, trend = "Petal.Length", by = "Species") Error in `[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp) : attempt access index 10/10 in VECTOR_ELT Calls: withAutoprint ... eval -> eval -> estimate_slopes -> get_marginaltrends Execution halted Flavor: r-devel-windows-x86_64

Version: 0.13.1
Check: tests
Result: ERROR Running 'testthat.R' [36s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > library(testthat) > library(modelbased) > > test_check("modelbased") Starting 2 test processes. Saving _problems/test-attributes_estimatefun-108.R Saving _problems/test-estimate_slopes-10.R Saving _problems/test-estimate_slopes-63.R Saving _problems/test-estimate_slopes-124.R > test-multivariate_response.R: Confidence intervals are not yet supported for models of class `mlm`. > test-multivariate_response.R: Confidence intervals are not yet supported for models of class `mlm`. Saving _problems/test-print-17.R Saving _problems/test-print-27.R > test-scoping_issues.R: We selected `contrast=c("Species")`. > test-scoping_issues.R: We selected `contrast=c("Species")`. Saving _problems/test-transform_response-65.R Saving _problems/test-visualisation_recipe-151.R [ FAIL 8 | WARN 0 | SKIP 59 | PASS 198 ] ══ Skipped tests (59) ══════════════════════════════════════════════════════════ • On CRAN (59): 'test-backtransform_invlink.R:1:1', 'test-betareg.R:1:1', 'test-bias_correction.R:1:1', 'test-brms-marginaleffects.R:1:1', 'test-brms.R:1:1', 'test-equivalence.R:1:1', 'test-estimate_contrasts-average.R:1:1', 'test-estimate_contrasts_bookexamples.R:1:1', 'test-estimate_contrasts.R:1:1', 'test-estimate_contrasts_counterfactual.R:1:1', 'test-estimate_contrasts_effectsize.R:1:1', 'test-estimate_contrasts_inequality.R:1:1', 'test-estimate_contrasts_methods.R:1:1', 'test-estimate_filter.R:1:1', 'test-estimate_grouplevel.R:54:3', 'test-estimate_grouplevel.R:72:3', 'test-estimate_grouplevel.R:93:3', 'test-estimate_grouplevel.R:123:3', 'test-estimate_grouplevel.R:150:5', 'test-estimate_grouplevel.R:182:3', 'test-estimate_grouplevel.R:261:3', 'test-estimate_grouplevel.R:308:3', 'test-estimate_means-average.R:1:1', 'test-estimate_means_ci.R:1:1', 'test-estimate_means.R:1:1', 'test-estimate_means_counterfactuals.R:1:1', 'test-estimate_means_dotargs.R:1:1', 'test-estimate_means_marginalization.R:1:1', 'test-estimate_means_mixed.R:1:1', 'test-estimate_slopes.R:129:1', 'test-g_computation.R:1:1', 'test-get_marginaltrends.R:1:1', 'test-glmmTMB.R:1:1', 'test-joint_test.R:1:1', 'test-keep_iterations.R:1:1', 'test-maihda.R:1:1', 'test-mice.R:1:1', 'test-ordinal.R:1:1', 'test-plot-facet.R:7:1', 'test-plot-flexible_numeric.R:6:1', 'test-plot-grouplevel.R:1:1', 'test-plot-ordinal.R:8:1', 'test-plot-slopes.R:6:1', 'test-plot.R:7:1', 'test-predict-dpar.R:1:1', 'test-print.R:31:1', 'test-print.R:44:1', 'test-print.R:55:1', 'test-print.R:70:1', 'test-print.R:81:1', 'test-print.R:101:1', 'test-print.R:112:1', 'test-print.R:125:1', 'test-residualize_over_grid.R:6:1', 'test-standardize.R:1:1', 'test-summary_estimate_slopes.R:3:1', 'test-transform_response.R:3:1', 'test-vcov.R:1:1', 'test-zeroinfl.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-attributes_estimatefun.R:108:3'): attributes_means, slopes ───── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 13/13 in VECTOR_ELT Backtrace: ▆ 1. ├─base::suppressMessages(...) at test-attributes_estimatefun.R:108:3 2. │ └─base::withCallingHandlers(...) 3. └─modelbased::estimate_slopes(model, "Sepal.Width", backend = "marginaleffects") 4. └─modelbased::get_marginaltrends(...) 5. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 6. │ └─base::withCallingHandlers(...) 7. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 8. ├─marginaleffects (local) `<fn>`(...) 9. │ └─base::eval.parent(call_attr) 10. │ └─base::eval(expr, p) 11. │ └─base::eval(expr, p) 12. ├─marginaleffects::slopes(...) 13. │ └─base::eval.parent(call_attr_c) 14. │ └─base::eval(expr, p) 15. │ └─base::eval(expr, p) 16. └─marginaleffects::comparisons(...) 17. ├─base::do.call("get_comparisons", args) 18. └─marginaleffects:::get_comparisons(...) 19. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 20. └─data.table:::`[.data.table`(...) ── Error ('test-estimate_slopes.R:10:3'): estimate_slopes ────────────────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 13/13 in VECTOR_ELT Backtrace: ▆ 1. ├─base::suppressMessages(estimate_slopes(model, backend = "marginaleffects")) at test-estimate_slopes.R:10:3 2. │ └─base::withCallingHandlers(...) 3. └─modelbased::estimate_slopes(model, backend = "marginaleffects") 4. └─modelbased::get_marginaltrends(...) 5. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 6. │ └─base::withCallingHandlers(...) 7. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 8. ├─marginaleffects (local) `<fn>`(...) 9. │ └─base::eval.parent(call_attr) 10. │ └─base::eval(expr, p) 11. │ └─base::eval(expr, p) 12. ├─marginaleffects::slopes(...) 13. │ └─base::eval.parent(call_attr_c) 14. │ └─base::eval(expr, p) 15. │ └─base::eval(expr, p) 16. └─marginaleffects::comparisons(...) 17. ├─base::do.call("get_comparisons", args) 18. └─marginaleffects:::get_comparisons(...) 19. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 20. └─data.table:::`[.data.table`(...) ── Error ('test-estimate_slopes.R:63:3'): estimate_slopes, johnson-neyman p-adjust ── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 10/10 in VECTOR_ELT Backtrace: ▆ 1. └─modelbased::estimate_slopes(model, "Petal.Width", by = "Petal.Length") at test-estimate_slopes.R:63:3 2. └─modelbased::get_marginaltrends(...) 3. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 4. │ └─base::withCallingHandlers(...) 5. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 6. ├─marginaleffects (local) `<fn>`(...) 7. │ └─base::eval.parent(call_attr) 8. │ └─base::eval(expr, p) 9. │ └─base::eval(expr, p) 10. ├─marginaleffects::slopes(...) 11. │ └─base::eval.parent(call_attr_c) 12. │ └─base::eval(expr, p) 13. │ └─base::eval(expr, p) 14. └─marginaleffects::comparisons(...) 15. ├─base::do.call("get_comparisons", args) 16. └─marginaleffects:::get_comparisons(...) 17. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 18. └─data.table:::`[.data.table`(...) ── Error ('test-estimate_slopes.R:124:3'): estimate_slopes, custom comparison ── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 10/10 in VECTOR_ELT Backtrace: ▆ 1. ├─modelbased::estimate_contrasts(...) at test-estimate_slopes.R:124:3 2. └─modelbased:::estimate_contrasts.default(...) 3. └─modelbased::get_marginalcontrasts(...) 4. └─modelbased::estimate_slopes(...) 5. └─modelbased::get_marginaltrends(...) 6. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 7. │ └─base::withCallingHandlers(...) 8. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 9. ├─marginaleffects (local) `<fn>`(...) 10. │ └─base::eval.parent(call_attr) 11. │ └─base::eval(expr, p) 12. │ └─base::eval(expr, p) 13. ├─marginaleffects::slopes(...) 14. │ └─base::eval.parent(call_attr_c) 15. │ └─base::eval(expr, p) 16. │ └─base::eval(expr, p) 17. └─marginaleffects::comparisons(...) 18. ├─base::do.call("get_comparisons", args) 19. └─marginaleffects:::get_comparisons(...) 20. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 21. └─data.table:::`[.data.table`(...) ── Error ('test-print.R:17:3'): estimate_slopes - print summary ──────────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 9/9 in VECTOR_ELT Backtrace: ▆ 1. └─modelbased::estimate_slopes(...) at test-print.R:17:3 2. └─modelbased::get_marginaltrends(...) 3. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 4. │ └─base::withCallingHandlers(...) 5. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 6. ├─marginaleffects (local) `<fn>`(...) 7. │ └─base::eval.parent(call_attr) 8. │ └─base::eval(expr, p) 9. │ └─base::eval(expr, p) 10. ├─marginaleffects::slopes(...) 11. │ └─base::eval.parent(call_attr_c) 12. │ └─base::eval(expr, p) 13. │ └─base::eval(expr, p) 14. └─marginaleffects::comparisons(...) 15. ├─base::do.call("get_comparisons", args) 16. └─marginaleffects:::get_comparisons(...) 17. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 18. └─data.table:::`[.data.table`(...) ── Error ('test-print.R:27:3'): estimate_slopes - print regular ──────────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 13/13 in VECTOR_ELT Backtrace: ▆ 1. ├─base::print(estimate_slopes(model, trend = "Petal.Length", backend = "marginaleffects")) 2. └─modelbased::estimate_slopes(model, trend = "Petal.Length", backend = "marginaleffects") 3. └─modelbased::get_marginaltrends(...) 4. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 5. │ └─base::withCallingHandlers(...) 6. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 7. ├─marginaleffects (local) `<fn>`(...) 8. │ └─base::eval.parent(call_attr) 9. │ └─base::eval(expr, p) 10. │ └─base::eval(expr, p) 11. ├─marginaleffects::slopes(...) 12. │ └─base::eval.parent(call_attr_c) 13. │ └─base::eval(expr, p) 14. │ └─base::eval(expr, p) 15. └─marginaleffects::comparisons(...) 16. ├─base::do.call("get_comparisons", args) 17. └─marginaleffects:::get_comparisons(...) 18. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 19. └─data.table:::`[.data.table`(...) ── Error ('test-transform_response.R:65:3'): estimate_slopes, transform ──────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 10/10 in VECTOR_ELT Backtrace: ▆ 1. └─modelbased::estimate_slopes(mod, trend = "Sepal.Width", by = "Species") at test-transform_response.R:65:3 2. └─modelbased::get_marginaltrends(...) 3. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 4. │ └─base::withCallingHandlers(...) 5. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 6. ├─marginaleffects (local) `<fn>`(...) 7. │ └─base::eval.parent(call_attr) 8. │ └─base::eval(expr, p) 9. │ └─base::eval(expr, p) 10. ├─marginaleffects::slopes(...) 11. │ └─base::eval.parent(call_attr_c) 12. │ └─base::eval(expr, p) 13. │ └─base::eval(expr, p) 14. └─marginaleffects::comparisons(...) 15. ├─base::do.call("get_comparisons", args) 16. └─marginaleffects:::get_comparisons(...) 17. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 18. └─data.table:::`[.data.table`(...) ── Error ('test-visualisation_recipe.R:151:3'): visualization_recipe ─────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 15/15 in VECTOR_ELT Backtrace: ▆ 1. └─modelbased::estimate_slopes(model, trend = "Sepal.Width") at test-visualisation_recipe.R:151:3 2. └─modelbased::get_marginaltrends(...) 3. ├─base::suppressWarnings(do.call(marginaleffects::avg_slopes, fun_args)) 4. │ └─base::withCallingHandlers(...) 5. ├─base::do.call(marginaleffects::avg_slopes, fun_args) 6. ├─marginaleffects (local) `<fn>`(...) 7. │ └─base::eval.parent(call_attr) 8. │ └─base::eval(expr, p) 9. │ └─base::eval(expr, p) 10. ├─marginaleffects::slopes(...) 11. │ └─base::eval.parent(call_attr_c) 12. │ └─base::eval(expr, p) 13. │ └─base::eval(expr, p) 14. └─marginaleffects::comparisons(...) 15. ├─base::do.call("get_comparisons", args) 16. └─marginaleffects:::get_comparisons(...) 17. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 18. └─data.table:::`[.data.table`(...) [ FAIL 8 | WARN 0 | SKIP 59 | PASS 198 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64

Package parameters

Current CRAN status: ERROR: 1, NOTE: 2, OK: 10

Version: 0.28.3
Check: tests
Result: ERROR Running 'testthat.R' [75s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(parameters) > library(testthat) > > test_check("parameters") Starting 2 test processes. > test-include_reference.R: Your model may suffer from singularity (see `?lme4::isSingular` and > test-include_reference.R: `?performance::check_singularity`). > test-include_reference.R: Some of the confidence intervals of the random effects parameters are > test-include_reference.R: probably not meaningful! > test-include_reference.R: You may try to impose a prior on the random effects parameters, e.g. > test-include_reference.R: using the glmmTMB package. > test-include_reference.R: Your model may suffer from singularity (see `?lme4::isSingular` and > test-include_reference.R: `?performance::check_singularity`). > test-include_reference.R: Some of the confidence intervals of the random effects parameters are > test-include_reference.R: probably not meaningful! > test-include_reference.R: You may try to impose a prior on the random effects parameters, e.g. > test-include_reference.R: using the glmmTMB package. > test-model_parameters.afex_aov.R: Contrasts set to contr.sum for the following variables: condition, talk > test-model_parameters.afex_aov.R: Contrasts set to contr.sum for the following variables: condition, talk > test-model_parameters.afex_aov.R: Contrasts set to contr.sum for the following variables: treatment, gender Saving _problems/test-marginaleffects-11.R Saving _problems/test-marginaleffects-94.R Saving _problems/test-marginaleffects-130.R Saving _problems/test-marginaleffects-153.R > test-n_factors.R: [1] "# Method Agreement Procedure:" > test-n_factors.R: [2] "" > test-n_factors.R: [3] "The choice of 1 dimensions is supported by 11 (84.62%) methods out of 13 (Bartlett, Anderson, Lawley, Optimal coordinates, Acceleration factor, Parallel analysis, Kaiser criterion, Scree (SE), Scree (R2), VSS complexity 1, Velicer's MAP)." > test-n_factors.R: [1] "# Method Agreement Procedure:" > test-n_factors.R: [2] "" > test-n_factors.R: [3] "The choice of 1 dimensions is supported by 3 (60.00%) methods out of 5 (Velicer's MAP, BIC, BIC (adjusted))." [ FAIL 4 | WARN 0 | SKIP 130 | PASS 714 ] ══ Skipped tests (130) ═════════════════════════════════════════════════════════ • On CRAN (125): 'test-GLMMadaptive.R:1:1', 'test-Hmisc.R:1:1', 'test-averaging.R:1:1', 'test-backticks.R:1:1', 'test-bootstrap_emmeans.R:1:1', 'test-bootstrap_parameters.R:1:1', 'test-brms.R:1:1', 'test-compare_parameters.R:90:5', 'test-compare_parameters.R:95:5', 'test-complete_separation.R:4:1', 'test-complete_separation.R:18:1', 'test-complete_separation.R:28:1', 'test-coxph.R:69:1', 'test-efa.R:1:1', 'test-emmGrid-df_colname.R:1:1', 'test-equivalence_test.R:3:1', 'test-equivalence_test.R:13:1', 'test-equivalence_test.R:22:3', 'test-equivalence_test.R:112:3', 'test-factor_analysis.R:2:3', 'test-factor_analysis.R:124:3', 'test-format_model_parameters2.R:2:3', 'test-gam.R:30:1', 'test-get_scores.R:1:1', 'test-glmer.R:1:1', 'test-glmmTMB-2.R:1:1', 'test-glmmTMB-profile_CI.R:2:3', 'test-glmmTMB.R:1:1', 'test-group_level_total.R:2:1', 'test-helper.R:1:1', 'test-ivreg.R:45:1', 'test-lcmm.R:1:1', 'test-lmerTest.R:1:1', 'test-include_reference.R:4:1', 'test-include_reference.R:62:1', 'test-include_reference.R:110:1', 'test-mipo.R:5:1', 'test-mipo.R:23:1', 'test-mmrm.R:1:1', 'test-model_parameters.BFBayesFactor.R:4:3', 'test-model_parameters.BFBayesFactor.R:77:3', 'test-model_parameters.BFBayesFactor.R:114:3', 'test-model_parameters.anova.R:1:1', 'test-model_parameters.aov.R:1:1', 'test-marginaleffects.R:170:1', 'test-marginaleffects.R:199:3', 'test-model_parameters.bracl.R:1:1', 'test-model_parameters.cgam.R:1:1', 'test-model_parameters.coxme.R:1:1', 'test-model_parameters.aov_es_ci.R:183:3', 'test-model_parameters.aov_es_ci.R:294:3', 'test-model_parameters.aov_es_ci.R:344:3', 'test-model_parameters.aov_es_ci.R:397:3', 'test-model_parameters.epi2x2.R:1:1', 'test-model_parameters.efa_cfa.R:30:3', 'test-model_parameters.fixest_multi.R:1:1', 'test-model_parameters.fixest.R:2:3', 'test-model_parameters.fixest.R:77:3', 'test-model_parameters.fixest.R:145:1', 'test-model_parameters.glmgee.R:1:1', 'test-model_parameters.glm.R:35:1', 'test-model_parameters.glm.R:67:1', 'test-model_parameters.logistf.R:1:1', 'test-model_parameters.logitr.R:1:1', 'test-model_parameters.mclogit.R:1:1', 'test-model_parameters.mediate.R:1:1', 'test-model_parameters.mixed.R:2:1', 'test-model_parameters.nnet.R:5:1', 'test-model_parameters.vgam.R:3:1', 'test-model_parameters_df.R:1:1', 'test-model_parameters_ordinal.R:1:1', 'test-model_parameters_random_pars.R:1:1', 'test-model_parameters_std.R:1:1', 'test-model_parameters_std_mixed.R:1:1', 'test-n_factors.R:10:3', 'test-n_factors.R:26:3', 'test-n_factors.R:76:3', 'test-p_adjust.R:1:1', 'test-p_direction.R:1:1', 'test-p_significance.R:1:1', 'test-p_value.R:14:1', 'test-panelr.R:1:1', 'test-pipe.R:1:1', 'test-pca.R:64:1', 'test-polr.R:1:1', 'test-plm.R:97:1', 'test-posterior.R:1:1', 'test-pool_parameters.R:1:1', 'test-pool_parameters.R:32:1', 'test-print_AER_labels.R:5:1', 'test-printing-stan.R:1:1', 'test-printing.R:1:1', 'test-pretty_names.R:40:1', 'test-pretty_names.R:73:5', 'test-quantreg.R:1:1', 'test-random_effects_ci-glmmTMB.R:3:1', 'test-random_effects_ci.R:1:1', 'test-printing2.R:14:5', 'test-printing2.R:21:5', 'test-printing2.R:26:5', 'test-printing2.R:31:5', 'test-printing2.R:36:5', 'test-printing2.R:48:5', 'test-printing2.R:91:7', 'test-printing2.R:126:5', 'test-rstanarm.R:2:1', 'test-robust.R:1:1', 'test-sampleSelection.R:2:1', 'test-simulate_model.R:19:1', 'test-simulate_parameters.R:18:1', 'test-serp.R:5:1', 'test-svylme.R:1:1', 'test-svyolr.R:1:1', 'test-visualisation_recipe.R:1:1', 'test-weightit.R:6:1', 'test-weightit.R:26:1', 'test-wrs2.R:55:1', 'test-standardize_parameters.R:28:1', 'test-standardize_parameters.R:36:3', 'test-standardize_parameters.R:61:3', 'test-standardize_parameters.R:173:3', 'test-standardize_parameters.R:297:3', 'test-standardize_parameters.R:332:3', 'test-standardize_parameters.R:425:3', 'test-standardize_parameters.R:515:3' • TODO: check this test locally, fails on CI, probably due to scoping issues? (1): 'test-marginaleffects.R:280:3' • TODO: fix this test (1): 'test-model_parameters.lqmm.R:40:3' • TODO: this one actually is not correct. (1): 'test-model_parameters_robust.R:127:3' • empty test (2): 'test-wrs2.R:69:1', 'test-wrs2.R:81:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-marginaleffects.R:7:3'): marginaleffects() ───────────────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 10/10 in VECTOR_ELT Backtrace: ▆ 1. └─marginaleffects::comparisons(...) 2. ├─base::do.call("get_comparisons", args) 3. └─marginaleffects:::get_comparisons(...) 4. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 5. └─data.table:::`[.data.table`(...) ── Error ('test-marginaleffects.R:90:3'): comparisons() ──────────────────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 10/10 in VECTOR_ELT Backtrace: ▆ 1. └─marginaleffects::comparisons(...) 2. ├─base::do.call("get_comparisons", args) 3. └─marginaleffects:::get_comparisons(...) 4. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 5. └─data.table:::`[.data.table`(...) ── Error ('test-marginaleffects.R:127:3'): slopes() ──────────────────────────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 10/10 in VECTOR_ELT Backtrace: ▆ 1. └─marginaleffects::comparisons(...) 2. ├─base::do.call("get_comparisons", args) 3. └─marginaleffects:::get_comparisons(...) 4. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 5. └─data.table:::`[.data.table`(...) ── Error ('test-marginaleffects.R:148:3'): multiple contrasts: Issue #779 ────── Error in ``[.data.table`(out, , `:=`(tmp_idx, seq_len(.N)), by = tmp)`: attempt access index 13/13 in VECTOR_ELT Backtrace: ▆ 1. ├─base::suppressWarnings(...) at test-marginaleffects.R:148:3 2. │ └─base::withCallingHandlers(...) 3. └─marginaleffects::comparisons(...) 4. ├─base::do.call("get_comparisons", args) 5. └─marginaleffects:::get_comparisons(...) 6. ├─out[, `:=`(tmp_idx, seq_len(.N)), by = tmp] 7. └─data.table:::`[.data.table`(...) [ FAIL 4 | WARN 0 | SKIP 130 | PASS 714 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64

Version: 0.28.3
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘M3C’ Flavor: r-oldrel-macos-arm64

Version: 0.28.3
Check: package dependencies
Result: NOTE Package suggested but not available for checking: 'EGAnet' Flavor: r-oldrel-windows-x86_64

Package performance

Current CRAN status: ERROR: 1, OK: 12

Version: 0.15.3
Check: tests
Result: ERROR Running ‘testthat.R’ [19s/11s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(performance) > > test_check("performance") Starting 2 test processes. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be > test-check_itemscale.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-check_collinearity.R: NOTE: 2 fixed-effect singletons were removed (2 observations). Saving _problems/test-check_collinearity-157.R Saving _problems/test-check_collinearity-185.R > test-check_overdispersion.R: Overdispersion detected. > test-check_overdispersion.R: Underdispersion detected. > test-check_outliers.R: No outliers were detected (p = 0.238). > test-glmmPQL.R: iteration 1 > test-item_discrimination.R: Some of the values are negative. Maybe affected items need to be > test-item_discrimination.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-item_discrimination.R: Some of the values are negative. Maybe affected items need to be > test-item_discrimination.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-item_discrimination.R: Some of the values are negative. Maybe affected items need to be > test-item_discrimination.R: reverse-coded, e.g. using `datawizard::reverse()`. > test-performance_aic.R: Model was not fitted with REML, however, `estimator = "REML"`. Set > test-performance_aic.R: `estimator = "ML"` to obtain identical results as from `AIC()`. [ FAIL 2 | WARN 2 | SKIP 41 | PASS 443 ] ══ Skipped tests (41) ══════════════════════════════════════════════════════════ • On CRAN (36): 'test-bootstrapped_icc_ci.R:2:3', 'test-bootstrapped_icc_ci.R:44:3', 'test-binned_residuals.R:163:3', 'test-binned_residuals.R:190:3', 'test-check_convergence.R:1:1', 'test-check_dag.R:1:1', 'test-check_distribution.R:1:1', 'test-check_itemscale.R:1:1', 'test-check_itemscale.R:100:1', 'test-check_model.R:1:1', 'test-check_collinearity.R:193:1', 'test-check_collinearity.R:226:1', 'test-check_residuals.R:2:3', 'test-check_singularity.R:2:3', 'test-check_singularity.R:30:3', 'test-check_zeroinflation.R:73:3', 'test-check_zeroinflation.R:112:3', 'test-check_outliers.R:115:3', 'test-check_outliers.R:339:3', 'test-helpers.R:1:1', 'test-item_omega.R:1:1', 'test-item_omega.R:31:3', 'test-compare_performance.R:1:1', 'test-mclogit.R:56:1', 'test-model_performance.bayesian.R:1:1', 'test-model_performance.lavaan.R:1:1', 'test-model_performance.merMod.R:2:3', 'test-model_performance.merMod.R:37:3', 'test-model_performance.psych.R:1:1', 'test-model_performance.rma.R:36:1', 'test-performance_reliability.R:23:3', 'test-pkg-ivreg.R:1:1', 'test-r2_nagelkerke.R:35:3', 'test-r2_bayes.R:39:3', 'test-rmse.R:39:3', 'test-test_likelihoodratio.R:55:1' • On Mac (4): 'test-check_predictions.R:1:1', 'test-icc.R:1:1', 'test-nestedLogit.R:1:1', 'test-r2_nakagawa.R:1:1' • getRversion() > "4.4.0" is TRUE (1): 'test-check_outliers.R:300:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-check_collinearity.R:157:3'): check_collinearity | afex ────── Expected `expect_message(ccoW <- check_collinearity(aW))` to throw a warning. ── Failure ('test-check_collinearity.R:185:3'): check_collinearity | afex ────── Expected `expect_message(ccoW <- check_collinearity(aW))` to throw a warning. [ FAIL 2 | WARN 2 | SKIP 41 | PASS 443 ] Error: ! Test failures. Execution halted Flavor: r-release-macos-arm64