Last updated on 2026-09-05 22:49:00 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.15-3 | 14.02 | 90.41 | 104.43 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.15-3 | 8.63 | 67.24 | 75.87 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.15-3 | 69.16 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.15-3 | 68.72 | OK | |||
| r-devel-windows-x86_64 | 1.15-3 | 14.00 | 106.00 | 120.00 | OK | |
| r-patched-linux-x86_64 | 1.15-3 | 13.28 | 87.68 | 100.96 | OK | |
| r-release-linux-x86_64 | 1.15-3 | 13.57 | 87.25 | 100.82 | OK | |
| r-release-macos-arm64 | 1.15-3 | 3.00 | 23.00 | 26.00 | OK | |
| r-release-macos-x86_64 | 1.15-3 | 9.00 | 84.00 | 93.00 | OK | |
| r-release-windows-x86_64 | 1.15-3 | 14.00 | 103.00 | 117.00 | OK | |
| r-oldrel-macos-arm64 | 1.15-3 | 3.00 | 23.00 | 26.00 | OK | |
| r-oldrel-macos-x86_64 | 1.15-3 | 9.00 | 100.00 | 109.00 | OK | |
| r-oldrel-windows-x86_64 | 1.15-3 | 19.00 | 133.00 | 152.00 | OK |
Version: 1.15-3
Check: examples
Result: ERROR
Running examples in ‘arm-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: standardize
> ### Title: Function for Standardizing Regression Predictors by Centering
> ### and Dividing by 2 sd's
> ### Aliases: standardize standardize,lm-method standardize,glm-method
> ### standardize,merMod-method standardize,polr-method
> ### Keywords: manip models methods
>
> ### ** Examples
>
> # Set up the fake data
> n <- 100
> x <- rnorm (n, 2, 1)
> x1 <- rnorm (n)
> x1 <- (x1-mean(x1))/(2*sd(x1)) # standardization
> x2 <- rbinom (n, 1, .5)
> b0 <- 1
> b1 <- 1.5
> b2 <- 2
> y <- rbinom (n, 1, invlogit(b0+b1*x1+b2*x2))
> y2 <- sample(1:5, n, replace=TRUE)
> M1 <- glm (y ~ x, family=binomial(link="logit"))
> display(M1)
glm(formula = y ~ x, family = binomial(link = "logit"))
coef.est coef.se
(Intercept) 1.37 0.66
x 0.07 0.29
---
n = 100, k = 2
residual deviance = 94.2, null deviance = 94.3 (difference = 0.1)
> M1.1 <- glm (y ~ rescale(x), family=binomial(link="logit"))
> display(M1.1)
glm(formula = y ~ rescale(x), family = binomial(link = "logit"))
coef.est coef.se
(Intercept) 1.52 0.26
rescale(x) 0.12 0.52
---
n = 100, k = 2
residual deviance = 94.2, null deviance = 94.3 (difference = 0.1)
> M1.2 <- standardize(M1)
> display(M1.2)
glm(formula = y ~ z.x, family = binomial(link = "logit"))
coef.est coef.se
(Intercept) 1.52 0.26
z.x 0.12 0.52
---
n = 100, k = 2
residual deviance = 94.2, null deviance = 94.3 (difference = 0.1)
> # M1.1 & M1.2 should be the same
> M2 <- polr(ordered(y2) ~ x)
> display(M2)
Re-fitting to get Hessian
polr(formula = ordered(y2) ~ x)
coef.est coef.se
x -0.19 0.20
1|2 -2.32 0.55
2|3 -1.11 0.49
3|4 -0.11 0.47
4|5 0.88 0.48
---
n = 100, k = 5 (including 4 intercepts)
residual deviance = 317.3, null deviance is not computed by polr
> M2.1 <- polr(ordered(y2) ~ rescale(x))
> display(M2.1)
Re-fitting to get Hessian
polr(formula = ordered(y2) ~ rescale(x))
coef.est coef.se
rescale(x) -0.34 0.37
1|2 -1.92 0.30
2|3 -0.72 0.21
3|4 0.29 0.20
4|5 1.27 0.24
---
n = 100, k = 5 (including 4 intercepts)
residual deviance = 317.3, null deviance is not computed by polr
> M2.2 <- standardize(M2.1)
> display(M2.2)
Re-fitting to get Hessian
polr(formula = ordered(y2) ~ rescale(z.x))
coef.est coef.se
rescale(z.x) -0.34 0.37
1|2 -1.92 0.30
2|3 -0.72 0.21
3|4 0.29 0.20
4|5 1.27 0.24
---
n = 100, k = 5 (including 4 intercepts)
residual deviance = 317.3, null deviance is not computed by polr
> # M2.1 & M2.2 should be the same
> form <- y ~ x1 + x2 # input formula as an object
> M3 <- glm(form, family=binomial)
> M3.1 <- standardize(M3)
Error in standardize.default(call = call, unchanged = unchanged, standardize.y = standardize.y, :
Error: The object x1 must be either numeric or a factor.
Calls: standardize -> standardize -> .local -> standardize.default
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc