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BCodifSIS computes Ball-codifference scores and performs sure independence screening for high-dimensional predictors. It uses compiled C code for the score calculation and R wrappers for screening.
Comparisons with other screening methods should be done outside this package, for example in a separate simulation script.
The implemented methodology is described in Rezapour and Maroufy (2026), “Ball-Codifference Screening for Heavy-Tailed Predictors”, https://arxiv.org/abs/2607.20821.
install.packages("BCodifSIS_0.3.2.tar.gz", repos = NULL, type = "source")On Windows, source installation requires Rtools matching your R version.
library(BCodifSIS)
grid <- seq_len(80)
X <- vapply(seq_len(20), function(j) {
sin(grid / (j + 1)) + cos(grid * j / 9)
}, numeric(80))
y <- X[, 1] + 0.5 * sin(grid / 3)
fit <- bcodif_sis(X, y, d = 5)
fit$ix
head(fit$complete.info)
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