confints2signifind: Detect significant predictors from bootstrap confidence...

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Detect significant predictors from bootstrap confidence intervals

Description

This function converts the matrix returned by confints.bootpls into a logical indicator of significance. A predictor is marked as significant when the selected confidence interval lies entirely on one side of the reference value.

Usage

confints2signifind(ic_bootobject, typeIC, threshold = 0)

Arguments

ic_bootobject	a matrix returned by confints.bootpls.
typeIC	type of confidence interval to use. Defaults to "BCa" when BCa limits are available and to "Percentile" otherwise.
threshold	reference value to test against. Defaults to 0.

Value

Named logical vector. TRUE means that the selected confidence interval excludes threshold; FALSE means that it contains threshold; NA means that the interval could not be evaluated.

Author(s)

Frédéric Bertrand
[e-mail]
https://fbertran.github.io/homepage/

See Also

confints.bootpls and signpred.

Examples

data(Cornell)
set.seed(250)
modpls <- plsR(Y ~ ., data = Cornell, 3)
Cornell.bootYT <- bootpls(modpls, typeboot = "fmodel_np", R = 250, verbose = FALSE)
temp.ci <- confints.bootpls(Cornell.bootYT, indices = 2:8, typeBCa = FALSE)
confints2signifind(temp.ci)

plsRglm documentation built on June 17, 2026, 5:06 p.m.