Nothing
require("mboost")
set.seed(1907)
### check confidence intervals
data("bodyfat", package = "TH.data")
bodyfat$ID <- factor(sample(1:5, size = nrow(bodyfat), replace = TRUE))
glm <- glmboost(DEXfat ~ ., data = bodyfat)
gam <- gamboost(DEXfat ~ ., data = bodyfat)
refit <- glm$update(weights = model.weights(glm), risk = "inbag")
stopifnot(all.equal(coef(refit), coef(glm)))
glm[200]
confint.glm <- confint(glm, B = 100, B.mstop = 2)
confint.glm
confint.gam <- confint(gam, B = 100, B.mstop = 1)
plot(confint.gam, which = 1)
plot(confint.gam, which = 2)
plot(confint.gam, which = 3)
### check cvrisk (it should run even if a fold leads to an error)
folds <- cv(model.weights(glm), type = "kfold")
folds[1, 1] <- NA
cvrisk(glm, folds = folds, papply = lapply)
cvrisk(glm, folds = folds, papply = mclapply)
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