CRAN Package Check Results for Package jointest

Last updated on 2026-06-08 02:51:15 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0 3.28 67.34 70.62 OK
r-devel-linux-x86_64-debian-gcc 1.0 2.87 28.12 30.99 FAIL
r-devel-linux-x86_64-fedora-clang 1.0 107.35 OK
r-devel-linux-x86_64-fedora-gcc 1.0 117.28 OK
r-devel-windows-x86_64 1.0 5.00 78.00 83.00 OK
r-patched-linux-x86_64 1.0 3.66 63.10 66.76 OK
r-release-linux-x86_64 1.0 3.61 63.59 67.20 OK
r-release-macos-arm64 1.0 1.00 23.00 24.00 OK
r-release-macos-x86_64 1.0 3.00 75.00 78.00 OK
r-release-windows-x86_64 1.0 5.00 82.00 87.00 OK
r-oldrel-macos-arm64 1.0 OK
r-oldrel-macos-x86_64 1.0 3.00 92.00 95.00 OK
r-oldrel-windows-x86_64 1.0 7.00 99.00 106.00 OK

Check Details

Version: 1.0
Check: examples
Result: ERROR Running examples in ‘jointest-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: flip2sss > ### Title: flipscores 2-Stage Summary Statistics approach > ### Aliases: flip2sss > > ### ** Examples > > library(jointest) > set.seed(123) > # Simulate data > N=20 > n=rpois(N,20) > reff=rep(rnorm(N),n) > > D=data.frame(X1=rnorm(length(reff)), + X2=rep(rnorm(N),n), + Grp=factor(rep(rep(LETTERS[1:3],length.out=N),n)), + Subj=rep(1:N,n)) > D$Y=rbinom(n=nrow(D),prob=plogis( 2*D$X1 * (D$Grp=="B") + 2*D$X2+reff),size=1) > > # model of interest formula <- Y ~ Grp * X1 + X2 > # clusters structure defined by cluster <- factor(D$Subj) > # The 2-Stage Summary Statistics via flipscore: > res <- flip2sss(Y ~ Grp * X1 + X2, data=D, + cluster=D$Subj, family="binomial") > summary(res) Model Coeff Estimate Score Std. Error z value 1 .Intercept. (Intercept) 4.3128538 29.0261330 24.152830 1.20176943 2 .Intercept. GrpB -0.3824975 -1.1599283 15.511347 -0.07477934 3 .Intercept. GrpC -1.7121985 -5.5300048 16.061350 -0.34430510 4 .Intercept. X2 9.5446012 151.9594953 51.196709 2.96814969 5 X1 X1 0.2882803 2.0179621 2.658795 0.75897611 6 X1 GrpB:X1 1.1367411 3.9785937 2.073856 1.91845180 7 X1 GrpC:X1 0.1228905 0.3970308 1.779620 0.22309867 Part. Cor p 1 0.29147190 0.1682 2 -0.01813665 0.9400 3 -0.08350625 0.6882 4 0.71988204 0.0062 5 0.17889239 0.1894 6 0.45218343 0.0352 7 0.05258486 0.7872 > # This is an ANOVA-like overall test: > summary(combine(res)) Model Coeff Stat nTests S p 1 Overall many maxT 7 151.9595 0.0062 > # This is an ANOVA-like test: > summary(combine_contrasts(res)) Model Coeff Stat nTests S p 1 .Intercept. (Intercept) Mahalanobis 1 0.02057700 0.1682 2 .Intercept. Grp Mahalanobis 2 0.19176868 0.9276 3 .Intercept. X2 Mahalanobis 1 0.03393411 0.0062 4 X1 X1 Mahalanobis 1 0.02096200 0.1894 5 X1 Grp:X1 Mahalanobis 2 3.69226237 0.1532 > > # An alternative and more flexible definition of the model: > # Define the summary statistics (here we propose the glm with firth correction > # from the logistf package) > summstats_within <- 'logistf::logistf(Y ~ X1, family = binomial(link = "logit"), + control=logistf::logistf.control(maxit=100))' > # however also the classic glm function can be used: > #summstats_within <- 'glm(Y ~ X1, family = binomial(link = "logit"))' > > # Then, compute the 2-Stage Summary Statistics approach > # specifying the summary statistics (within cluster/subject) > res <- flip2sss(Y ~ Grp * X1 + X2, data=D, cluster=D$Subj, + summstats_within=summstats_within) Error in loadNamespace(x) : there is no package called ‘logistf’ Calls: flip2sss ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0
Check: for unstated dependencies in vignettes
Result: NOTE Error: inferior call failed Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0
Check: re-building of vignette outputs
Result: FAIL
Flavor: r-devel-linux-x86_64-debian-gcc