CRAN Package Check Results for Package stdReg2

Last updated on 2026-05-20 23:50:28 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.0.7	10.58	115.82	126.40	OK
r-devel-linux-x86_64-debian-gcc	1.0.7	7.23	80.42	87.65	OK
r-devel-linux-x86_64-fedora-clang	1.0.7	17.00	168.89	185.89	OK
r-devel-linux-x86_64-fedora-gcc	1.0.7	15.00	180.21	195.21	OK
r-devel-windows-x86_64	1.0.7	11.00	119.00	130.00	OK
r-patched-linux-x86_64	1.0.3	8.91	100.86	109.77	ERROR
r-release-linux-x86_64	1.0.7	6.84	107.59	114.43	OK
r-release-macos-arm64	1.0.7	3.00	32.00	35.00	OK
r-release-macos-x86_64	1.0.7	7.00	138.00	145.00	OK
r-release-windows-x86_64	1.0.7	11.00	117.00	128.00	OK
r-oldrel-macos-arm64	1.0.7				OK
r-oldrel-macos-x86_64	1.0.7	7.00	110.00	117.00	OK
r-oldrel-windows-x86_64	1.0.7	15.00	144.00	159.00	OK

Check Details

Version: 1.0.3
Check: examples
Result: ERROR Running examples in ‘stdReg2-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: standardize_glm > ### Title: Get regression standardized estimates from a glm > ### Aliases: standardize_glm > > ### ** Examples > > > # basic example > # needs to correctly specify the outcome model and no unmeasered confounders > # (+ standard causal assunmptions) > set.seed(6) > n <- 100 > Z <- rnorm(n) > X <- cut(rnorm(n, mean = Z), breaks = c(-Inf, 0, Inf), labels = c("low", "high")) > Y <- rbinom(n, 1, prob = (1 + exp(as.numeric(X) + Z))^(-1)) > dd <- data.frame(Z, X, Y) > x <- standardize_glm( + formula = Y ~ X * Z, + family = "binomial", + data = dd, + values = list(X = c("low", "high")), + contrasts = c("difference", "ratio"), + reference = "low" + ) > x Outcome formula: Y ~ X * Z Outcome family: quasibinomial Outcome link function: logit Exposure: X Tables: X Estimate Std.Error lower.0.95 upper.0.95 1 low 0.286 0.0556 0.17676 0.395 2 high 0.198 0.1007 0.00035 0.395 Reference level: X = low Contrast: difference X Estimate Std.Error lower.0.95 upper.0.95 1 low 0.000 0.000 0.000 0.000 2 high -0.088 0.113 -0.309 0.133 Reference level: X = low Contrast: ratio X Estimate Std.Error lower.0.95 upper.0.95 1 low 1.000 0.000 1.000 1.00 2 high 0.692 0.372 -0.037 1.42 > # different transformations of causal effects > > # example from Sjölander (2016) with case-control data > # here the matching variable needs to be passed as an argument > singapore <- AF::singapore Error in loadNamespace(x) : there is no package called ‘AF’ Calls: loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed standardize 5.749 0.000 8.517 parfrailty 4.585 0.197 5.539 Flavor: r-patched-linux-x86_64