CRAN Package Check Results for Package embryogrowth

Last updated on 2025-08-29 23:51:58 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 10.3 22.95 144.88 167.83 OK
r-devel-linux-x86_64-debian-gcc 10.3 16.36 95.20 111.56 OK
r-devel-linux-x86_64-fedora-clang 10.3 264.99 OK
r-devel-linux-x86_64-fedora-gcc 10.3 254.83 OK
r-devel-windows-x86_64 10.3 25.00 155.00 180.00 OK
r-patched-linux-x86_64 10.3 26.16 133.26 159.42 OK
r-release-linux-x86_64 10.3 23.07 133.66 156.73 OK
r-release-macos-arm64 10.3 71.00 WARN
r-release-macos-x86_64 10.3 123.00 OK
r-release-windows-x86_64 10.3 28.00 159.00 187.00 OK
r-oldrel-macos-arm64 10.3 74.00 WARN
r-oldrel-macos-x86_64 10.3 121.00 OK
r-oldrel-windows-x86_64 10.3 36.00 190.00 226.00 OK

Check Details

Version: 10.3
Check: for code/documentation mismatches
Result: WARN Codoc mismatches from Rd file 'HeterogeneityNests.Rd': HeterogeneityNests Code: function(nests = stop("An object of class Nests2, NestsResult, or mcmcComposite."), probs = c(0.025, 0.975), control.legend.total = list(), control.legend.metabolicheating = list(), show.full.incubation = TRUE, show.first.half.incubation = TRUE, col.absolute.difference.full = rgb(blue = 0.1, green = 0.1, red = 1, alpha = 0.01), pch.absolute.difference.full = 19, col.absolute.difference.first = rgb(blue = 1, green = 0.1, red = 0.1, alpha = 0.01), pch.absolute.difference.first = 19, show.se = TRUE, show.sd = TRUE, n.iter = 10000, n.adapt = 1000, thin = 5, adaptive = TRUE, return.mcmc = FALSE, trace = FALSE, rules = rbind(data.frame(Name = "min", Min = 0, Max = 2), data.frame(Name = "max", Min = 0, Max = 20), data.frame(Name = "S", Min = 0, Max = 10), data.frame(Name = "P", Min = 0, Max = 50), data.frame(Name = "asd", Min = 0, Max = 2), data.frame(Name = "bsd", Min = 0, Max = 1)), fitted.parameters = c(min = 1, max = 3.94384206319577, S = 0.621279598124434, P = 5.69863056154756, asd = 0.0139849297499185, bsd = 1.19025174327629), fixed.parameters = NULL, ...) Docs: function(nests = stop("An object of class Nests2, NestsResult, or mcmcComposite."), probs = c(0.025, 0.975), control.legend.total = list(), control.legend.metabolicheating = list(), show.full.incubation = TRUE, show.first.half.incubation = TRUE, col.absolute.difference.full = rgb(blue = 0.1, green = 0.1, red = 1, alpha = 0.01), pch.absolute.difference.full = 19, col.absolute.difference.first = rgb(blue = 1, green = 0.1, red = 0.1, alpha = 0.01), pch.absolute.difference.first = 19, show.se = TRUE, show.sd = TRUE, n.iter = 10000, n.adapt = 1000, thin = 5, adaptive = TRUE, return.mcmc = FALSE, trace = FALSE, rules = rbind(data.frame(Name = "min", Min = 0, Max = 2), data.frame(Name = "max", Min = 0, Max = 20), data.frame(Name = "S", Min = 0, Max = 10), data.frame(Name = "P", Min = 0, Max = 50), data.frame(Name = "asd", Min = 0, Max = 2), data.frame(Name = "bsd", Min = 0, Max = 1)), fitted.parameters = c(min = 1, max = 3.94384206319577, S = 0.621279598124434, P = 5.69863056154757, asd = 0.0139849297499185, bsd = 1.19025174327629), fixed.parameters = NULL, ...) Mismatches in argument default values: Name: 'fitted.parameters' Code: c(min = 1, max = 3.94384206319577, S = 0.621279598124434, P = 5.69863056154756, asd = 0.0139849297499185, bsd = 1.19025174327629) Docs: c(min = 1, max = 3.94384206319577, S = 0.621279598124434, P = 5.69863056154757, asd = 0.0139849297499185, bsd = 1.19025174327629) Flavors: r-release-macos-arm64, r-oldrel-macos-arm64

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