Errors in running code in vignettes:
when running code in 'gamboostLSS_Tutorial.Rnw'

> options(prompt = "R> ", continue = "+  ", width = 76, 
+     useFancyQuotes = FALSE)

> repos <- "http://cran.at.r-project.org"

> suppressWarnings(pd <- packageDescription("gamboostLSS"))

> if (all(is.na(pd))) {
+     install.packages("gamboostLSS", repos = repos)
+     pd <- packageDescription("gamboostLSS")
+ } else {
+     if (compar .... [TRUNCATED] 

> suppressWarnings(if (!require("R2BayesX")) install.packages("R2BayesX", 
+     repos = repos))
Loading required package: R2BayesX
Installing package into 'C:/r_packages/pkgcheck/CRAN/gamboostLSS/gamboostLSS.Rcheck'
(as 'lib' is unspecified)

> suppressWarnings(rm("india"))

> require("gamboostLSS")
Loading required package: gamboostLSS
Loading required package: mboost
Loading required package: parallel
Loading required package: stabs

Attaching package: 'gamboostLSS'

The following object is masked from 'package:stats':

    model.weights


> if (!file.exists("graphics")) dir.create("graphics")

> if (!file.exists("cvrisk")) dir.create("cvrisk")

> library("gamboostLSS")

> set.seed(1907)

> n <- 150

> x1 <- rnorm(n)

> x2 <- rnorm(n)

> x3 <- rnorm(n)

> toydata <- data.frame(x1 = x1, x2 = x2, x3 = x3)

> toydata$y <- rnorm(n, mean = 1 + 2 * x1 - x2, sd = exp(0.5 - 
+     0.25 * x1 + 0.5 * x3))

> lmLSS <- glmboostLSS(y ~ x1 + x2 + x3, data = toydata)

> coef(lmLSS, off2int = TRUE)
$mu
(Intercept)          x1          x2 
  0.8139756   1.6411143  -0.3905382 

$sigma
(Intercept)          x1          x2          x3 
 0.62351136 -0.22308703 -0.02128006  0.30850745 


> par(mfrow = c(1, 2), mar = c(4, 4, 2, 5))

> plot(lmLSS, off2int = TRUE)

> muFit <- fitted(lmLSS, parameter = "mu")

> rbind(muFit, truth = 1 + 2 * x1 - x2)[, 1:5]
              1          2         3        4         5
muFit -3.243757 -0.6727116 0.8922116 1.049360 0.8499387
truth -4.331456 -0.8519794 0.7208595 1.164517 1.1033806

> sigmaFit <- fitted(lmLSS, parameter = "sigma", type = "response")[, 
+     1]

> rbind(sigmaFit, truth = exp(0.5 - 0.25 * x1 + 0.5 * 
+     x3))[, 1:5]
                1        2        3        4        5
sigmaFit 2.613536 1.469919 1.503953 2.225158 2.527370
truth    2.260658 1.017549 1.221171 2.261453 2.684958

> data("india")

> data("india.bnd")

> names(india)
[1] "stunting"   "cbmi"       "cage"       "mbmi"       "mage"      
[6] "mcdist"     "mcdist_lab"

> library("R2BayesX")

  When sourcing 'gamboostLSS_Tutorial.R':
Error: there is no package called 'R2BayesX'
Execution halted

  'gamboostLSS_Tutorial.Rnw' using 'UTF-8'... failed