library(ck37r)
library(SuperLearner)
# Only run test if necessary suggested packages are installed.
pkg_suggests = c("testthat", "MASS")
if (!all(suppressWarnings(sapply(pkg_suggests, require, quietly = TRUE,
character.only = TRUE))))
return()
context("CVSL auc")
data(Boston, package = "MASS")
set.seed(1, "L'Ecuyer-CMRG")
# Subset rows to speed up example computation.
row_subset = sample(nrow(Boston), 400)
Boston = Boston[row_subset, ]
# Outcome needs to be a binary variable.
X = subset(Boston, select = -chas)
cvsl = CV.SuperLearner(Boston$chas, X[, 1:3], family = binomial(),
cvControl = list(V = 2, stratifyCV = T),
SL.library = c("SL.mean", "SL.glm"))
cvsl_auc(cvsl)
# TODO: cause an error in cvAUC::ci.cvAUC for testing purposes.
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