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CRAN Package Check Results for Package jointCompRisk

Last updated on 2026-08-14 17:51:14 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.1 8.51 85.51 94.02 ERROR
r-devel-linux-x86_64-debian-gcc 0.1.1 6.78 65.83 72.61 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.1 66.77 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.1 67.56 ERROR
r-devel-windows-x86_64 0.1.1 11.00 97.00 108.00 ERROR
r-patched-linux-x86_64 0.1.1 8.76 80.34 89.10 ERROR
r-release-linux-x86_64 0.1.1 8.61 80.05 88.66 ERROR
r-release-macos-arm64 0.1.1 2.00 34.00 36.00 OK
r-release-macos-x86_64 0.1.1 6.00 139.00 145.00 OK
r-release-windows-x86_64 0.1.1 10.00 92.00 102.00 ERROR
r-oldrel-macos-arm64 0.1.1 OK
r-oldrel-macos-x86_64 0.1.1 6.00 129.00 135.00 OK
r-oldrel-windows-x86_64 0.1.1 13.00 118.00 131.00 ERROR

Check Details

Version: 0.1.1
Check: tests
Result: ERROR Running ‘testthat.R’ [5s/6s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(jointCompRisk) > > test_check("jointCompRisk") Saving _problems/test-basic-32.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-basic.R:32:3'): do_cif_analysis returns formatted summaries ──── Error in `survfit.formula(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w)`: the etype argument is no longer supported, use a factor as the status variable Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(prepped, tau = 15) at test-basic.R:32:3 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.1.1
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘Example_analysis.Rmd’ using rmarkdown Quitting from Example_analysis.Rmd:24-42 [unnamed-chunk-2] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `survfit.formula()`: ! the etype argument is no longer supported, use a factor as the status variable --- Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(mydata_std, tau = 15) 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Example_analysis.Rmd' failed with diagnostics: the etype argument is no longer supported, use a factor as the status variable --- failed re-building ‘Example_analysis.Rmd’ --- re-building ‘Vignette.Rmd’ using rmarkdown main_df package:jointCompRisk R Documentation _<08>M_<08>a_<08>i_<08>n _<08>C_<08>o_<08>m_<08>p_<08>e_<08>t_<08>i_<08>n_<08>g _<08>R_<08>i_<08>s_<08>k_<08>s _<08>D_<08>a_<08>t_<08>a_<08>s_<08>e_<08>t _<08>S_<08>i_<08>m_<08>u_<08>l_<08>a_<08>t_<08>e_<08>d _<08>c_<08>l_<08>i_<08>n_<08>i_<08>c_<08>a_<08>l _<08>t_<08>r_<08>i_<08>a_<08>l _<08>d_<08>a_<08>t_<08>a _<08>w_<08>i_<08>t_<08>h _<08>c_<08>o_<08>m_<08>p_<08>e_<08>t_<08>i_<08>n_<08>g _<08>r_<08>i_<08>s_<08>k_<08>s _<08>s_<08>u_<08>r_<08>v_<08>i_<08>v_<08>a_<08>l _<08>o_<08>u_<08>t_<08>c_<08>o_<08>m_<08>e_<08>s. _<08>T_<08>h_<08>i_<08>s _<08>d_<08>a_<08>t_<08>a_<08>s_<08>e_<08>t _<08>f_<08>o_<08>l_<08>l_<08>o_<08>w_<08>s _<08>t_<08>h_<08>e _<08>s_<08>t_<08>r_<08>u_<08>c_<08>t_<08>u_<08>r_<08>e _<08>o_<08>f _<08>A_<08>d_<08>a_<08>p_<08>t_<08>i_<08>v_<08>e _<08>C_<08>O_<08>V_<08>I_<08>D-_<08>1_<08>9 _<08>T_<08>r_<08>e_<08>a_<08>t_<08>m_<08>e_<08>n_<08>t _<08>T_<08>r_<08>i_<08>a_<08>l_<08>s (_<08>A_<08>C_<08>T_<08>T) _<08>w_<08>i_<08>t_<08>h _<08>b_<08>u_<08>i_<08>l_<08>t-_<08>i_<08>n _<08>t_<08>r_<08>e_<08>a_<08>t_<08>m_<08>e_<08>n_<08>t _<08>e_<08>f_<08>f_<08>e_<08>c_<08>t_<08>s _<08>f_<08>o_<08>r _<08>d_<08>e_<08>m_<08>o_<08>n_<08>s_<08>t_<08>r_<08>a_<08>t_<08>i_<08>o_<08>n _<08>p_<08>u_<08>r_<08>p_<08>o_<08>s_<08>e_<08>s. _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Main Competing Risks Dataset Simulated clinical trial data with competing risks survival outcomes. This dataset follows the structure of Adaptive COVID-19 Treatment Trials (ACTT) with built-in treatment effects for demonstration purposes. _<08>U_<08>s_<08>a_<08>g_<08>e: data(main_df) _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with 150 rows and 7 variables: ID Patient identifier (character) TimeToRecovery Time to recovery event in days (numeric) TimeToDeath Time to death event in days (numeric) RecoveryCensoringIndicator Recovery censoring indicator (0=event observed, 1=censored) DeathCensoringIndicator Death censoring indicator (0=event observed, 1=censored) BaselineScore Baseline severity score, range 4-7 (numeric) Treatment Treatment arm indicator (0=control, 1=treatment) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: This is a simulated dataset created for demonstration purposes with realistic treatment effects built in: treatment group has 1.5× faster recovery times and 1.8× improved survival compared to control. The data represents a clinical trial with competing risks where patients can either recover or die, with administrative censoring at 30 days. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Simulated data based on Weibull distributions with treatment-specific parameters _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: data(main_df) head(main_df) summary(main_df) # Compare outcomes by treatment tapply(main_df$TimeToRecovery, main_df$Treatment, summary) tapply(main_df$TimeToDeath, main_df$Treatment, summary) long_df package:jointCompRisk R Documentation _<08>L_<08>o_<08>n_<08>g_<08>i_<08>t_<08>u_<08>d_<08>i_<08>n_<08>a_<08>l _<08>S_<08>e_<08>v_<08>e_<08>r_<08>i_<08>t_<08>y _<08>S_<08>c_<08>o_<08>r_<08>e_<08>s _<08>D_<08>a_<08>t_<08>a_<08>s_<08>e_<08>t _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Repeated measurements of ordinal severity scores over time for the same patients in the main_df dataset, with treatment-specific trajectory patterns. _<08>U_<08>s_<08>a_<08>g_<08>e: data(long_df) _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with variable rows per patient: PersonID Patient identifier matching ID in main_df (character) OrdinalScore Severity score on 1-8 scale (numeric) RelativeDay Study day (numeric) starting from day 0 (baseline) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: Measurements are taken at scheduled visits: days 0 (baseline), 1, 3, 5, 7, 10, 14, 18, 21, 25, 28. The trajectory follows treatment-specific probabilities: treatment patients have 45 and 15 worsening probability, creating realistic differential clinical progression patterns. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Simulated data using treatment-specific random walk with boundaries _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: data(long_df) data(main_df) head(long_df) # See data for first patient subset(long_df, PersonID == "Patient_001") # Compare average scores by treatment long_df %>% dplyr::left_join(main_df[,c("ID","Treatment")], by=c("PersonID"="ID")) %>% dplyr::group_by(Treatment) %>% dplyr::summarise(mean_score = mean(OrdinalScore)) Quitting from Vignette.Rmd:159-169 [unnamed-chunk-4] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `survfit.formula()`: ! the etype argument is no longer supported, use a factor as the status variable --- Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(mydata_std, tau = 15) 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Vignette.Rmd' failed with diagnostics: the etype argument is no longer supported, use a factor as the status variable --- failed re-building ‘Vignette.Rmd’ SUMMARY: processing the following files failed: ‘Example_analysis.Rmd’ ‘Vignette.Rmd’ Error: Vignette re-building failed. Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.1
Check: tests
Result: ERROR Running ‘testthat.R’ [3s/4s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(jointCompRisk) > > test_check("jointCompRisk") Saving _problems/test-basic-32.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-basic.R:32:3'): do_cif_analysis returns formatted summaries ──── Error in `survfit.formula(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w)`: the etype argument is no longer supported, use a factor as the status variable Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(prepped, tau = 15) at test-basic.R:32:3 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.1
Check: tests
Result: ERROR Running ‘testthat.R’ Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(jointCompRisk) > > test_check("jointCompRisk") Saving _problems/test-basic-32.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-basic.R:32:3'): do_cif_analysis returns formatted summaries ──── Error in `survfit.formula(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w)`: the etype argument is no longer supported, use a factor as the status variable Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(prepped, tau = 15) at test-basic.R:32:3 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] Error: ! Test failures. Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.1
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building ‘Example_analysis.Rmd’ using rmarkdown Quitting from Example_analysis.Rmd:24-42 [unnamed-chunk-2] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `survfit.formula()`: ! the etype argument is no longer supported, use a factor as the status variable --- Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(mydata_std, tau = 15) 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Example_analysis.Rmd' failed with diagnostics: the etype argument is no longer supported, use a factor as the status variable --- failed re-building ‘Example_analysis.Rmd’ --- re-building ‘Vignette.Rmd’ using rmarkdown main_df package:jointCompRisk R Documentation _<08>M_<08>a_<08>i_<08>n _<08>C_<08>o_<08>m_<08>p_<08>e_<08>t_<08>i_<08>n_<08>g _<08>R_<08>i_<08>s_<08>k_<08>s _<08>D_<08>a_<08>t_<08>a_<08>s_<08>e_<08>t _<08>S_<08>i_<08>m_<08>u_<08>l_<08>a_<08>t_<08>e_<08>d _<08>c_<08>l_<08>i_<08>n_<08>i_<08>c_<08>a_<08>l _<08>t_<08>r_<08>i_<08>a_<08>l _<08>d_<08>a_<08>t_<08>a _<08>w_<08>i_<08>t_<08>h _<08>c_<08>o_<08>m_<08>p_<08>e_<08>t_<08>i_<08>n_<08>g _<08>r_<08>i_<08>s_<08>k_<08>s _<08>s_<08>u_<08>r_<08>v_<08>i_<08>v_<08>a_<08>l _<08>o_<08>u_<08>t_<08>c_<08>o_<08>m_<08>e_<08>s. _<08>T_<08>h_<08>i_<08>s _<08>d_<08>a_<08>t_<08>a_<08>s_<08>e_<08>t _<08>f_<08>o_<08>l_<08>l_<08>o_<08>w_<08>s _<08>t_<08>h_<08>e _<08>s_<08>t_<08>r_<08>u_<08>c_<08>t_<08>u_<08>r_<08>e _<08>o_<08>f _<08>A_<08>d_<08>a_<08>p_<08>t_<08>i_<08>v_<08>e _<08>C_<08>O_<08>V_<08>I_<08>D-_<08>1_<08>9 _<08>T_<08>r_<08>e_<08>a_<08>t_<08>m_<08>e_<08>n_<08>t _<08>T_<08>r_<08>i_<08>a_<08>l_<08>s (_<08>A_<08>C_<08>T_<08>T) _<08>w_<08>i_<08>t_<08>h _<08>b_<08>u_<08>i_<08>l_<08>t-_<08>i_<08>n _<08>t_<08>r_<08>e_<08>a_<08>t_<08>m_<08>e_<08>n_<08>t _<08>e_<08>f_<08>f_<08>e_<08>c_<08>t_<08>s _<08>f_<08>o_<08>r _<08>d_<08>e_<08>m_<08>o_<08>n_<08>s_<08>t_<08>r_<08>a_<08>t_<08>i_<08>o_<08>n _<08>p_<08>u_<08>r_<08>p_<08>o_<08>s_<08>e_<08>s. _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Main Competing Risks Dataset Simulated clinical trial data with competing risks survival outcomes. This dataset follows the structure of Adaptive COVID-19 Treatment Trials (ACTT) with built-in treatment effects for demonstration purposes. _<08>U_<08>s_<08>a_<08>g_<08>e: data(main_df) _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with 150 rows and 7 variables: ID Patient identifier (character) TimeToRecovery Time to recovery event in days (numeric) TimeToDeath Time to death event in days (numeric) RecoveryCensoringIndicator Recovery censoring indicator (0=event observed, 1=censored) DeathCensoringIndicator Death censoring indicator (0=event observed, 1=censored) BaselineScore Baseline severity score, range 4-7 (numeric) Treatment Treatment arm indicator (0=control, 1=treatment) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: This is a simulated dataset created for demonstration purposes with realistic treatment effects built in: treatment group has 1.5× faster recovery times and 1.8× improved survival compared to control. The data represents a clinical trial with competing risks where patients can either recover or die, with administrative censoring at 30 days. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Simulated data based on Weibull distributions with treatment-specific parameters _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: data(main_df) head(main_df) summary(main_df) # Compare outcomes by treatment tapply(main_df$TimeToRecovery, main_df$Treatment, summary) tapply(main_df$TimeToDeath, main_df$Treatment, summary) long_df package:jointCompRisk R Documentation _<08>L_<08>o_<08>n_<08>g_<08>i_<08>t_<08>u_<08>d_<08>i_<08>n_<08>a_<08>l _<08>S_<08>e_<08>v_<08>e_<08>r_<08>i_<08>t_<08>y _<08>S_<08>c_<08>o_<08>r_<08>e_<08>s _<08>D_<08>a_<08>t_<08>a_<08>s_<08>e_<08>t _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Repeated measurements of ordinal severity scores over time for the same patients in the main_df dataset, with treatment-specific trajectory patterns. _<08>U_<08>s_<08>a_<08>g_<08>e: data(long_df) _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with variable rows per patient: PersonID Patient identifier matching ID in main_df (character) OrdinalScore Severity score on 1-8 scale (numeric) RelativeDay Study day (numeric) starting from day 0 (baseline) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: Measurements are taken at scheduled visits: days 0 (baseline), 1, 3, 5, 7, 10, 14, 18, 21, 25, 28. The trajectory follows treatment-specific probabilities: treatment patients have 45 and 15 worsening probability, creating realistic differential clinical progression patterns. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Simulated data using treatment-specific random walk with boundaries _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: data(long_df) data(main_df) head(long_df) # See data for first patient subset(long_df, PersonID == "Patient_001") # Compare average scores by treatment long_df %>% dplyr::left_join(main_df[,c("ID","Treatment")], by=c("PersonID"="ID")) %>% dplyr::group_by(Treatment) %>% dplyr::summarise(mean_score = mean(OrdinalScore)) Quitting from Vignette.Rmd:159-169 [unnamed-chunk-4] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `survfit.formula()`: ! the etype argument is no longer supported, use a factor as the status variable --- Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(mydata_std, tau = 15) 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Vignette.Rmd' failed with diagnostics: the etype argument is no longer supported, use a factor as the status variable --- failed re-building ‘Vignette.Rmd’ SUMMARY: processing the following files failed: ‘Example_analysis.Rmd’ ‘Vignette.Rmd’ Error: Vignette re-building failed. Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.1
Check: tests
Result: ERROR Running 'testthat.R' [4s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(jointCompRisk) > > test_check("jointCompRisk") Saving _problems/test-basic-32.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-basic.R:32:3'): do_cif_analysis returns formatted summaries ──── Error in `survfit.formula(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w)`: the etype argument is no longer supported, use a factor as the status variable Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(prepped, tau = 15) at test-basic.R:32:3 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] Error: ! Test failures. Execution halted Flavors: r-devel-windows-x86_64, r-release-windows-x86_64

Version: 0.1.1
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building 'Example_analysis.Rmd' using rmarkdown Quitting from Example_analysis.Rmd:24-42 [unnamed-chunk-2] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `survfit.formula()`: ! the etype argument is no longer supported, use a factor as the status variable --- Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(mydata_std, tau = 15) 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Example_analysis.Rmd' failed with diagnostics: the etype argument is no longer supported, use a factor as the status variable --- failed re-building 'Example_analysis.Rmd' --- re-building 'Vignette.Rmd' using rmarkdown Quitting from Vignette.Rmd:159-169 [unnamed-chunk-4] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `survfit.formula()`: ! the etype argument is no longer supported, use a factor as the status variable --- Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(mydata_std, tau = 15) 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Vignette.Rmd' failed with diagnostics: the etype argument is no longer supported, use a factor as the status variable --- failed re-building 'Vignette.Rmd' SUMMARY: processing the following files failed: 'Example_analysis.Rmd' 'Vignette.Rmd' Error: Vignette re-building failed. Execution halted Flavors: r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Version: 0.1.1
Check: tests
Result: ERROR Running ‘testthat.R’ [4s/5s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(jointCompRisk) > > test_check("jointCompRisk") Saving _problems/test-basic-32.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-basic.R:32:3'): do_cif_analysis returns formatted summaries ──── Error in `survfit.formula(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w)`: the etype argument is no longer supported, use a factor as the status variable Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(prepped, tau = 15) at test-basic.R:32:3 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] Error: ! Test failures. Execution halted Flavors: r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.1
Check: tests
Result: ERROR Running 'testthat.R' [6s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(jointCompRisk) > > test_check("jointCompRisk") Saving _problems/test-basic-32.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-basic.R:32:3'): do_cif_analysis returns formatted summaries ──── Error in `survfit.formula(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w)`: the etype argument is no longer supported, use a factor as the status variable Backtrace: ▆ 1. └─jointCompRisk::do_cif_analysis(prepped, tau = 15) at test-basic.R:32:3 2. └─jointCompRisk:::table1_cif(Treatment, Control, tau, 0, 1, 0) 3. └─jointCompRisk:::auc.var.joint(data1, tau, a, b, c) 4. ├─survival::survfit(Surv(etime, estatus) ~ 1, etype = etype2, data = data.w) 5. └─survival::survfit.formula(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 10 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-windows-x86_64

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