CRAN Package Check Results for Package RISCA

Last updated on 2026-10-24 12:51:45 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.7 42.80 287.19 329.99 OK
r-devel-linux-x86_64-debian-gcc 1.0.7 30.21 167.44 197.65 ERROR
r-devel-linux-x86_64-fedora-clang 1.0.7 31.00 184.31 215.31 OK
r-devel-linux-x86_64-fedora-gcc 1.0.7 31.00 175.11 206.11 OK
r-devel-windows-x86_64 1.0.7 48.00 272.00 320.00 OK
r-patched-linux-x86_64 1.0.7 43.41 261.48 304.89 OK
r-release-linux-x86_64 1.0.7 41.61 265.06 306.67 OK
r-release-macos-arm64 1.0.7 11.00 57.00 68.00 OK
r-release-macos-x86_64 1.0.7 30.00 241.00 271.00 OK
r-release-windows-x86_64 1.0.7 46.00 262.00 308.00 OK
r-oldrel-macos-arm64 1.0.7 OK
r-oldrel-macos-x86_64 1.0.7 25.00 115.00 140.00 OK
r-oldrel-windows-x86_64 1.0.7 64.00 349.00 413.00 OK

Check Details

Version: 1.0.7
Check: examples
Result: ERROR Running examples in ‘RISCA-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: gc.survival > ### Title: Marginal Effect for Censored Outcome by G-computation with a Cox > ### Regression for the Outcome Model. > ### Aliases: gc.survival > ### Keywords: G-computation > > ### ** Examples > > data(dataDIVAT2) > > #Raw effect of the treatment > cox.raw <- coxph(Surv(times,failures) ~ ecd, data=dataDIVAT2, x=TRUE) > summary(cox.raw) Call: coxph(formula = Surv(times, failures) ~ ecd, data = dataDIVAT2, x = TRUE) n= 1837, number of events= 582 coef exp(coef) se(coef) z Pr(>|z|) ecd 0.67857 1.97105 0.08602 7.889 3.06e-15 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 exp(coef) exp(-coef) lower .95 upper .95 ecd 1.971 0.5073 1.665 2.333 Concordance= 0.582 (se = 0.011 ) Likelihood ratio test= 59.25 on 1 df, p=1e-14 Wald test = 62.23 on 1 df, p=3e-15 Score (logrank) test = 64.46 on 1 df, p=1e-15 > > #Conditional effect of the treatment > cox.cdt <- coxph(Surv(times,failures) ~ ecd + age + retransplant, + data=dataDIVAT2, x=TRUE) > summary(cox.cdt) Call: coxph(formula = Surv(times, failures) ~ ecd + age + retransplant, data = dataDIVAT2, x = TRUE) n= 1837, number of events= 582 coef exp(coef) se(coef) z Pr(>|z|) ecd 0.51006 1.66540 0.10521 4.848 1.25e-06 *** age 0.01092 1.01098 0.00371 2.943 0.00325 ** retransplant 0.29440 1.34232 0.09740 3.023 0.00251 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 exp(coef) exp(-coef) lower .95 upper .95 ecd 1.665 0.6005 1.355 2.047 age 1.011 0.9891 1.004 1.018 retransplant 1.342 0.7450 1.109 1.625 Concordance= 0.606 (se = 0.013 ) Likelihood ratio test= 75.04 on 3 df, p=4e-16 Wald test = 76.69 on 3 df, p=<2e-16 Score (logrank) test = 79.21 on 3 df, p=<2e-16 > > #Marginal effect of the treatment (ATE): use 1000 iterations instead of 10 > #We restricted to 10 to respect the CRAN policy in terms of time for computation > gc.ate <- gc.survival(object=cox.cdt, data=dataDIVAT2, group="ecd", times="times", + failures="failures", max.time=max(dataDIVAT2$times), iterations=10, effect="ATE", + n.cluster=1) Error in a$specials[[i]] : subscript out of bounds Calls: gc.survival ... explp -> predict -> predict.coxph -> delete.response -> off Execution halted Flavor: r-devel-linux-x86_64-debian-gcc