CRAN Package Check Results for Package modelbased

Last updated on 2022-08-15 08:50:01 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.8.1 5.43 127.24 132.67 ERROR
r-devel-linux-x86_64-debian-gcc 0.8.1 3.72 96.24 99.96 ERROR
r-devel-linux-x86_64-fedora-clang 0.8.1 164.36 ERROR
r-devel-linux-x86_64-fedora-gcc 0.8.1 174.53 ERROR
r-devel-windows-x86_64 0.8.1 47.00 136.00 183.00 ERROR
r-patched-linux-x86_64 0.8.1 5.74 123.60 129.34 ERROR
r-release-linux-x86_64 0.8.1 4.98 124.09 129.07 ERROR
r-release-macos-arm64 0.8.1 50.00 ERROR
r-release-macos-x86_64 0.8.1 55.00 OK
r-release-windows-x86_64 0.8.1 61.00 123.00 184.00 ERROR
r-oldrel-macos-arm64 0.8.1 39.00 OK
r-oldrel-macos-x86_64 0.8.1 56.00 OK
r-oldrel-windows-ix86+x86_64 0.8.1 9.00 124.00 133.00 ERROR

Check Details

Version: 0.8.1
Check: examples
Result: ERROR
    Running examples in 'modelbased-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: estimate_slopes
    > ### Title: Estimate Marginal Effects
    > ### Aliases: estimate_slopes
    >
    > ### ** Examples
    >
    > if (require("emmeans")) {
    + # Get an idea of the data
    + if (require("ggplot2")) {
    + ggplot(iris, aes(x = Petal.Length, y = Sepal.Width)) +
    + geom_point(aes(color = Species)) +
    + geom_smooth(color = "black", se = FALSE) +
    + geom_smooth(aes(color = Species), linetype = "dotted", se = FALSE) +
    + geom_smooth(aes(color = Species), method = "lm", se = FALSE)
    + }
    +
    + # Model it
    + model <- lm(Sepal.Width ~ Species * Petal.Length, data = iris)
    + # Compute the marginal effect of Petal.Length at each level of Species
    + slopes <- estimate_slopes(model, trend = "Petal.Length", at = "Species")
    + slopes
    + if (require("see")) {
    + plot(slopes)
    + }
    + standardize(slopes)
    +
    + if (require("mgcv") && require("see")) {
    + model <- mgcv::gam(Sepal.Width ~ s(Petal.Length), data = iris)
    + slopes <- estimate_slopes(model, at = "Petal.Length", length = 50)
    + summary(slopes)
    + plot(slopes)
    +
    + model <- mgcv::gam(Sepal.Width ~ s(Petal.Length, by = Species), data = iris)
    + slopes <- estimate_slopes(model,
    + trend = "Petal.Length",
    + at = c("Petal.Length", "Species"), length = 20
    + )
    + summary(slopes)
    + plot(slopes)
    + }
    + }
    Loading required package: emmeans
    Loading required package: ggplot2
    Loading required package: see
    Loading required package: mgcv
    Loading required package: nlme
    This is mgcv 1.8-40. For overview type 'help("mgcv-package")'.
    No numeric variable was specified for slope estimation. Selecting `trend = "Petal.Length"`.
    Error in emmeans::emtrends(model, specs = args$emmeans_specs, var = args$trend, :
     Variable 'Petal.Length' is not in the dataset
    Calls: estimate_slopes -> get_emtrends -> <Anonymous>
    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: 0.8.1
Check: examples
Result: ERROR
    Running examples in ‘modelbased-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: estimate_slopes
    > ### Title: Estimate Marginal Effects
    > ### Aliases: estimate_slopes
    >
    > ### ** Examples
    >
    > if (require("emmeans")) {
    + # Get an idea of the data
    + if (require("ggplot2")) {
    + ggplot(iris, aes(x = Petal.Length, y = Sepal.Width)) +
    + geom_point(aes(color = Species)) +
    + geom_smooth(color = "black", se = FALSE) +
    + geom_smooth(aes(color = Species), linetype = "dotted", se = FALSE) +
    + geom_smooth(aes(color = Species), method = "lm", se = FALSE)
    + }
    +
    + # Model it
    + model <- lm(Sepal.Width ~ Species * Petal.Length, data = iris)
    + # Compute the marginal effect of Petal.Length at each level of Species
    + slopes <- estimate_slopes(model, trend = "Petal.Length", at = "Species")
    + slopes
    + if (require("see")) {
    + plot(slopes)
    + }
    + standardize(slopes)
    +
    + if (require("mgcv") && require("see")) {
    + model <- mgcv::gam(Sepal.Width ~ s(Petal.Length), data = iris)
    + slopes <- estimate_slopes(model, at = "Petal.Length", length = 50)
    + summary(slopes)
    + plot(slopes)
    +
    + model <- mgcv::gam(Sepal.Width ~ s(Petal.Length, by = Species), data = iris)
    + slopes <- estimate_slopes(model,
    + trend = "Petal.Length",
    + at = c("Petal.Length", "Species"), length = 20
    + )
    + summary(slopes)
    + plot(slopes)
    + }
    + }
    Loading required package: emmeans
    Loading required package: ggplot2
    Loading required package: see
    Loading required package: mgcv
    Loading required package: nlme
    This is mgcv 1.8-40. For overview type 'help("mgcv-package")'.
    No numeric variable was specified for slope estimation. Selecting `trend = "Petal.Length"`.
    Error in emmeans::emtrends(model, specs = args$emmeans_specs, var = args$trend, :
     Variable 'Petal.Length' is not in the dataset
    Calls: estimate_slopes -> get_emtrends -> <Anonymous>
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-macos-arm64, r-release-windows-x86_64, r-oldrel-windows-ix86+x86_64