library(ck37r)
library(SuperLearner)
# Only run test if necessary suggested packages are installed.
pkg_suggests = c("testthat")
if (!all(suppressWarnings(sapply(pkg_suggests, require, quietly = TRUE,
character.only = TRUE))))
return()
context("SL RMSE table")
data(Boston, package = "MASS")
set.seed(1, "L'Ecuyer-CMRG")
# Subset rows to speed up example computation.
row_subset = sample(nrow(Boston), 200)
Boston = Boston[row_subset, ]
# Outcome should be continuous.
X = subset(Boston, select = -age)
sl = SuperLearner(Boston$age, X[, 1:3], family = gaussian(),
cvControl = list(V = 2L),
SL.library = c("SL.mean", "SL.glm"))
rmse_table(sl, y = Boston$age)
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