CRAN Package Check Results for Package semEff

Last updated on 2026-07-11 05:52:14 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.7.2 16.28 143.76 160.04 ERROR
r-devel-linux-x86_64-debian-gcc 0.7.2 12.37 104.20 116.57 ERROR
r-devel-linux-x86_64-fedora-clang 0.7.2 29.00 308.13 337.13 OK
r-devel-linux-x86_64-fedora-gcc 0.7.2 26.00 281.39 307.39 OK
r-devel-windows-x86_64 0.7.2 19.00 146.00 165.00 ERROR
r-patched-linux-x86_64 0.7.2 16.99 139.09 156.08 OK
r-release-linux-x86_64 0.7.2 12.95 140.60 153.55 OK
r-release-macos-arm64 0.7.2 4.00 38.00 42.00 OK
r-release-macos-x86_64 0.7.2 12.00 157.00 169.00 OK
r-release-windows-x86_64 0.7.2 22.00 139.00 161.00 ERROR
r-oldrel-macos-arm64 0.7.2 OK
r-oldrel-macos-x86_64 0.7.2 11.00 172.00 183.00 OK
r-oldrel-windows-x86_64 0.7.2 26.00 179.00 205.00 ERROR

Check Details

Version: 0.7.2
Check: examples
Result: ERROR Running examples in ‘semEff-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: predEff > ### Title: Predict Effects > ### Aliases: predEff > > ### ** Examples > > # Predict effects (direct, total) > m <- shipley.sem > e <- shipley.sem.eff > dir <- getDirEff(e) > tot <- getTotEff(e) > f.dir <- predEff(m, effects = dir, type = "response") > f.tot <- predEff(m, effects = tot, type = "response") > f.dir$Live[1:10] 1 2 3 4 5 6 7 8 0.9998907 0.9525798 0.9657500 0.9894445 0.9943723 0.9993621 0.9911463 0.9582557 9 10 0.9982749 0.9989735 > f.tot$Live[1:10] 1 2 3 4 5 6 7 8 0.9975858 0.5742006 0.5783691 0.7196629 0.9436709 0.9840953 0.8998478 0.5468860 9 10 0.9462890 0.9887104 > > # Using new data for predictors > d <- na.omit(shipley) > xn <- c("lat", "DD", "Date", "Growth") > seq100 <- function(x) seq(min(x), max(x), length = 100) > nd <- data.frame(sapply(d[xn], seq100)) > f.dir <- predEff(m, nd, dir, type = "response") > f.tot <- predEff(m, nd, tot, type = "response") > f.dir$Live[1:10] 1 2 3 4 5 6 7 8 0.3000301 0.3279412 0.3571239 0.3874066 0.4185852 0.4504280 0.4826822 0.5150813 9 10 0.5473542 0.5792338 > f.tot$Live[1:10] 1 2 3 4 5 6 7 0.05467217 0.06338280 0.07337353 0.08479648 0.09781007 0.11257517 0.12924985 8 9 10 0.14798252 0.16890356 0.19211539 > # Add CIs > # dir.b <- getDirEff(e, "boot") > # tot.b <- getTotEff(e, "boot") > # f.dir <- predEff(m, nd, dir, dir.b, type = "response") > # f.tot <- predEff(m, nd, tot, tot.b, type = "response") > > # Predict an interactive effect (e.g. Live ~ Growth * DD) > xn <- c("Growth", "DD") > d[xn] <- scale(d[xn]) # scale predictors (improves fit) > m <- lme4::glmer(Live ~ Growth * DD + (1 | site) + (1 | tree), + family = binomial, data = d) Error: Downdated VtV is not positive definite Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed R2 5.863 0.32 8.512 Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.7.2
Check: examples
Result: ERROR Running examples in ‘semEff-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: predEff > ### Title: Predict Effects > ### Aliases: predEff > > ### ** Examples > > # Predict effects (direct, total) > m <- shipley.sem > e <- shipley.sem.eff > dir <- getDirEff(e) > tot <- getTotEff(e) > f.dir <- predEff(m, effects = dir, type = "response") > f.tot <- predEff(m, effects = tot, type = "response") > f.dir$Live[1:10] 1 2 3 4 5 6 7 8 0.9998907 0.9525798 0.9657500 0.9894445 0.9943723 0.9993621 0.9911463 0.9582557 9 10 0.9982749 0.9989735 > f.tot$Live[1:10] 1 2 3 4 5 6 7 8 0.9975858 0.5742006 0.5783691 0.7196629 0.9436709 0.9840953 0.8998478 0.5468860 9 10 0.9462890 0.9887104 > > # Using new data for predictors > d <- na.omit(shipley) > xn <- c("lat", "DD", "Date", "Growth") > seq100 <- function(x) seq(min(x), max(x), length = 100) > nd <- data.frame(sapply(d[xn], seq100)) > f.dir <- predEff(m, nd, dir, type = "response") > f.tot <- predEff(m, nd, tot, type = "response") > f.dir$Live[1:10] 1 2 3 4 5 6 7 8 0.3000301 0.3279412 0.3571239 0.3874066 0.4185852 0.4504280 0.4826822 0.5150813 9 10 0.5473542 0.5792338 > f.tot$Live[1:10] 1 2 3 4 5 6 7 0.05467217 0.06338280 0.07337353 0.08479648 0.09781007 0.11257517 0.12924985 8 9 10 0.14798252 0.16890356 0.19211539 > # Add CIs > # dir.b <- getDirEff(e, "boot") > # tot.b <- getTotEff(e, "boot") > # f.dir <- predEff(m, nd, dir, dir.b, type = "response") > # f.tot <- predEff(m, nd, tot, tot.b, type = "response") > > # Predict an interactive effect (e.g. Live ~ Growth * DD) > xn <- c("Growth", "DD") > d[xn] <- scale(d[xn]) # scale predictors (improves fit) > m <- lme4::glmer(Live ~ Growth * DD + (1 | site) + (1 | tree), + family = binomial, data = d) > nd <- with(d, expand.grid( + Growth = seq100(Growth), + DD = mean(DD) + c(-sd(DD), sd(DD)) # two levels for DD + )) > f <- predEff(m, nd, type = "response", interaction = "Growth:DD") Warning: the ‘findbars’ function has moved to the reformulas package. Please update your imports, or ask an upstream package maintainer to do so. This warning is displayed once per session. Error: Downdated VtV is not positive definite Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.7.2
Check: examples
Result: ERROR Running examples in 'semEff-Ex.R' failed The error most likely occurred in: > ### Name: bootEff > ### Title: Bootstrap Effects > ### Aliases: bootEff > > ### ** Examples > > # Bootstrap Shipley SEM (test – 1 rep) > # (set 'site' as group for resampling – highest-level random effect) > bootEff(shipley.sem, R = 1, ran.eff = "site", parallel = "no") Flavors: r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64