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This R package provides functions for computing bootstrap p-values based onboot objects, and convenience functions for bootstrap confidence intervals and p-values for various regression models.

To install the package from CRAN:

install.packages("boot.pval")

To install the development version from Github:

library(devtools)install_github("mthulin/boot.pval")

boot.pval can be used to:

• Obtain p-values and confidence intervals for coefficients of a wide range of regression models.
• Perform one and two-sample bootstrap tests of location, with accompanying confidence intervals.
• Create custom bootstrap tests.

p-values can be computed by inverting the corresponding confidence intervals, as described in Section 14.2 ofThulin (2024) and Section 3.12 inHall (1992). This package contains functions for computing bootstrap p-values in this way. The approach relies on the fact that:

• The p-value of the two-sided test for the parameter theta is the smallest alpha such that theta is not contained in the corresponding 1-alpha confidence interval,
• For a test of the parameter theta with significance level alpha, the set of values of theta that aren't rejected by the two-sided test (when used as the null hypothesis) is a 1-alpha confidence interval for theta.