context("Variable importance measure framework")
library(sl3)
library(uuid)
library(assertthat)
library(data.table)
library(future)
set.seed(1234)
# setup data for test
data(cpp)
data <- as.data.table(cpp)
data$parity01 <- as.numeric(data$parity > 0)
data$parity01_fac <- factor(data$parity01)
data$haz01 <- as.numeric(data$haz > 0)
data[is.na(data)] <- 0
node_list <- list(
W = c(
"apgar1", "apgar5", "gagebrth", "mage",
"meducyrs"
),
A = c("sexn", "parity01", "mracen", "smoked"),
Y = "haz01"
)
q_lib <- make_learner_stack(
"Lrnr_mean",
"Lrnr_glm_fast"
)
g_lib <- make_learner_stack(
"Lrnr_mean",
"Lrnr_glm_fast"
)
metalearner <- make_learner(Lrnr_nnls)
Q_learner <- make_learner(Lrnr_sl, q_lib, metalearner)
g_learner <- make_learner(Lrnr_sl, g_lib, metalearner)
learner_list <- list(Y = Q_learner, A = g_learner)
tmle_spec <- tmle_PAR(baseline_level = 1)
vim_results <- tmle3_vim(tmle_spec, data, node_list, learner_list)
# plot_vim(vim_results)
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