CRAN Package Check Results for Package mlmRev

Last updated on 2026-07-09 14:00:48 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0-9 5.01 162.54 167.55 ERROR
r-devel-linux-x86_64-debian-gcc 1.0-9 4.80 99.21 104.01 ERROR
r-devel-linux-x86_64-fedora-clang 1.0-9 10.00 200.47 210.47 ERROR
r-devel-linux-x86_64-fedora-gcc 1.0-9 10.00 131.27 141.27 ERROR
r-devel-windows-x86_64 1.0-9 10.00 123.00 133.00 ERROR
r-patched-linux-x86_64 1.0-9 6.80 76.59 83.39 ERROR
r-release-linux-x86_64 1.0-9 6.21 211.95 218.16 OK
r-release-macos-arm64 1.0-9 2.00 62.00 64.00 OK
r-release-macos-x86_64 1.0-9 5.00 252.00 257.00 OK
r-release-windows-x86_64 1.0-9 9.00 120.00 129.00 ERROR
r-oldrel-macos-arm64 1.0-9 2.00 64.00 66.00 OK
r-oldrel-macos-x86_64 1.0-9 5.00 244.00 249.00 OK
r-oldrel-windows-x86_64 1.0-9 12.00 210.00 222.00 ERROR

Check Details

Version: 1.0-9
Check: examples
Result: ERROR Running examples in ‘mlmRev-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: Contraception > ### Title: Contraceptive use in Bangladesh > ### Aliases: Contraception > ### Keywords: datasets > > ### ** Examples > > str(Contraception) 'data.frame': 1934 obs. of 6 variables: $ woman : Factor w/ 1934 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 9 10 ... $ district: Factor w/ 60 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... $ use : Factor w/ 2 levels "N","Y": 1 1 1 1 1 1 1 1 1 1 ... $ livch : Factor w/ 4 levels "0","1","2","3+": 4 1 3 4 1 1 4 4 2 4 ... $ age : num 18.44 -5.56 1.44 8.44 -13.56 ... $ urban : Factor w/ 2 levels "N","Y": 2 2 2 2 2 2 2 2 2 2 ... > summary(Contraception) woman district use livch age urban 1 : 1 14 : 118 N:1175 0 :530 Min. :-13.560000 N:1372 2 : 1 1 : 117 Y: 759 1 :356 1st Qu.: -7.559900 Y: 562 3 : 1 46 : 86 2 :305 Median : -1.559900 4 : 1 25 : 67 3+:743 Mean : 0.002198 5 : 1 6 : 65 3rd Qu.: 6.440000 6 : 1 30 : 61 Max. : 19.440000 (Other):1928 (Other):1420 > (fm1 <- glmer(use ~ urban+age+livch+(1|district), Contraception, binomial)) Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod] Family: binomial ( logit ) Formula: use ~ urban + age + livch + (1 | district) Data: Contraception AIC BIC logLik -2*log(L) df.resid 2427.616 2466.587 -1206.808 2413.616 1927 Random effects: Groups Name Std.Dev. district (Intercept) 0.4608 Number of obs: 1934, groups: district, 60 Fixed Effects: (Intercept) urbanY age livch1 livch2 livch3+ -1.68965 0.73298 -0.02659 1.10913 1.37634 1.34518 > (fm2 <- glmer(use ~ urban+age+livch+(urban|district), Contraception, binomial)) Error: Downdated VtV is not positive definite Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-patched-linux-x86_64

Version: 1.0-9
Check: tests
Result: ERROR Running ‘guImmun.R’ [81s/116s] Running ‘lmerTest.R’ [10s/15s] Running ‘versions.R’ [3s/3s] Running the tests in ‘tests/guImmun.R’ failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Error: Downdated VtV is not positive definite Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0-9
Check: examples
Result: ERROR Running examples in ‘mlmRev-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: Contraception > ### Title: Contraceptive use in Bangladesh > ### Aliases: Contraception > ### Keywords: datasets > > ### ** Examples > > str(Contraception) 'data.frame': 1934 obs. of 6 variables: $ woman : Factor w/ 1934 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 9 10 ... $ district: Factor w/ 60 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... $ use : Factor w/ 2 levels "N","Y": 1 1 1 1 1 1 1 1 1 1 ... $ livch : Factor w/ 4 levels "0","1","2","3+": 4 1 3 4 1 1 4 4 2 4 ... $ age : num 18.44 -5.56 1.44 8.44 -13.56 ... $ urban : Factor w/ 2 levels "N","Y": 2 2 2 2 2 2 2 2 2 2 ... > summary(Contraception) woman district use livch age urban 1 : 1 14 : 118 N:1175 0 :530 Min. :-13.560000 N:1372 2 : 1 1 : 117 Y: 759 1 :356 1st Qu.: -7.559900 Y: 562 3 : 1 46 : 86 2 :305 Median : -1.559900 4 : 1 25 : 67 3+:743 Mean : 0.002198 5 : 1 6 : 65 3rd Qu.: 6.440000 6 : 1 30 : 61 Max. : 19.440000 (Other):1928 (Other):1420 > (fm1 <- glmer(use ~ urban+age+livch+(1|district), Contraception, binomial)) Error: Downdated VtV is not positive definite Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0-9
Check: tests
Result: ERROR Running ‘guImmun.R’ [38s/52s] Running ‘lmerTest.R’ [7s/11s] Running ‘versions.R’ [2s/3s] Running the tests in ‘tests/guImmun.R’ failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Error: Downdated VtV is not positive definite Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0-9
Check: examples
Result: ERROR Running examples in ‘mlmRev-Ex.R’ failed The error most likely occurred in: > ### Name: Contraception > ### Title: Contraceptive use in Bangladesh > ### Aliases: Contraception > ### Keywords: datasets > > ### ** Examples > > str(Contraception) 'data.frame': 1934 obs. of 6 variables: $ woman : Factor w/ 1934 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 9 10 ... $ district: Factor w/ 60 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... $ use : Factor w/ 2 levels "N","Y": 1 1 1 1 1 1 1 1 1 1 ... $ livch : Factor w/ 4 levels "0","1","2","3+": 4 1 3 4 1 1 4 4 2 4 ... $ age : num 18.44 -5.56 1.44 8.44 -13.56 ... $ urban : Factor w/ 2 levels "N","Y": 2 2 2 2 2 2 2 2 2 2 ... > summary(Contraception) woman district use livch age urban 1 : 1 14 : 118 N:1175 0 :530 Min. :-13.560000 N:1372 2 : 1 1 : 117 Y: 759 1 :356 1st Qu.: -7.559900 Y: 562 3 : 1 46 : 86 2 :305 Median : -1.559900 4 : 1 25 : 67 3+:743 Mean : 0.002198 5 : 1 6 : 65 3rd Qu.: 6.440000 6 : 1 30 : 61 Max. : 19.440000 (Other):1928 (Other):1420 > (fm1 <- glmer(use ~ urban+age+livch+(1|district), Contraception, binomial)) Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod] Family: binomial ( logit ) Formula: use ~ urban + age + livch + (1 | district) Data: Contraception AIC BIC logLik -2*log(L) df.resid 2427.616 2466.587 -1206.808 2413.616 1927 Random effects: Groups Name Std.Dev. district (Intercept) 0.4608 Number of obs: 1934, groups: district, 60 Fixed Effects: (Intercept) urbanY age livch1 livch2 livch3+ -1.68965 0.73298 -0.02659 1.10913 1.37633 1.34518 > (fm2 <- glmer(use ~ urban+age+livch+(urban|district), Contraception, binomial)) Error: Downdated VtV is not positive definite Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 1.0-9
Check: tests
Result: ERROR Running ‘guImmun.R’ [80s/85s] Running ‘lmerTest.R’ [14s/14s] Running ‘versions.R’ Running the tests in ‘tests/guImmun.R’ failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Error: Downdated VtV is not positive definite Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.0-9
Check: tests
Result: ERROR Running ‘guImmun.R’ [13s/14s] Running ‘lmerTest.R’ [15s/15s] Running ‘versions.R’ Running the tests in ‘tests/guImmun.R’ failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Error: Downdated VtV is not positive definite Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.0-9
Check: tests
Result: ERROR Running 'guImmun.R' [6s] Running 'lmerTest.R' [9s] Running 'versions.R' [2s] Running the tests in 'tests/guImmun.R' failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Flavor: r-devel-windows-x86_64

Version: 1.0-9
Check: tests
Result: ERROR Running ‘guImmun.R’ [5s/7s] Running ‘lmerTest.R’ [9s/11s] Running ‘versions.R’ [2s/3s] Running the tests in ‘tests/guImmun.R’ failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Error: Downdated VtV is not positive definite Execution halted Flavor: r-patched-linux-x86_64

Version: 1.0-9
Check: tests
Result: ERROR Running 'guImmun.R' [8s] Running 'lmerTest.R' [8s] Running 'versions.R' [2s] Running the tests in 'tests/guImmun.R' failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Flavor: r-release-windows-x86_64

Version: 1.0-9
Check: tests
Result: ERROR Running 'guImmun.R' [77s] Running 'lmerTest.R' [12s] Running 'versions.R' [3s] Running the tests in 'tests/guImmun.R' failed. Complete output: > library(mlmRev) Loading required package: lme4 Loading required package: Matrix > options(digits=6, useFancyQuotes = FALSE)# signif.stars for once.. > fm <- glmer(immun ~ kid2p + mom25p + ord + ethn + momEd + + husEd + momWork + rural + pcInd81 + (1|mom) + (1|comm), + data = guImmun, family = binomial) Warning message: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model failed to converge with max|grad| = 0.415505 (tol = 0.002, component 1) See ?lme4::convergence and ?lme4::troubleshooting. > print(fm, symbolic.cor = TRUE) Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod] Family: binomial ( logit ) Formula: immun ~ kid2p + mom25p + ord + ethn + momEd + husEd + momWork + rural + pcInd81 + (1 | mom) + (1 | comm) Data: guImmun AIC BIC logLik -2*log(L) df.resid 2747.50 2849.69 -1355.75 2711.50 2141 Random effects: Groups Name Std.Dev. mom (Intercept) 1.149 comm (Intercept) 0.726 Number of obs: 2159, groups: mom, 1595; comm, 161 Fixed Effects: (Intercept) kid2pY mom25pY ord23 ord46 ord7p -0.87541 1.26561 -0.12846 -0.14579 0.16272 0.27400 ethnN ethnS momEdP momEdS husEdP husEdS -0.16395 -0.06148 0.28183 0.27883 0.38570 0.35196 husEdU momWorkY ruralY pcInd81 -0.00276 0.25941 -0.67693 -0.85413 optimizer (Nelder_Mead) convergence code: 0 (OK) ; 0 optimizer warnings; 1 lme4 warnings > > fm.h <- update(fm, ~ . - husEd) Flavor: r-oldrel-windows-x86_64