get_pvalues: P-value Calculation Based on Null Distribution and Test...

In CCI: Computational Test for Conditional Independence

P-value Calculation Based on Null Distribution and Test Statistic

Description

This function calculates p-values based on the comparison of a test statistic against a null distribution. It can perform either empirical or parametric p-value calculations and supports both left-tailed and right-tailed tests.

Usage

get_pvalues(
  dist,
  test_statistic,
  parametric = FALSE,
  tail = c("left", "right")
)

Arguments

dist	Numeric vector. Represents the null distribution of the test statistic.
test_statistic	Numeric. The observed test statistic for which the p-value is to be calculated.
parametric	Logical. If TRUE, calculates parametric p-values assuming the null distribution is normal. If FALSE, calculates empirical p-values. Default is FALSE.
tail	Character. Specifies whether to calculate left-tailed or right-tailed p-values. Must be either "left" or "right". Default is "left".

Value

Numeric. The calculated p-value.

Examples

set.seed(123)
null_dist <- rnorm(1000)
observed_stat <- 1.5
p_value <- get_pvalues(null_dist, observed_stat, parametric = FALSE, tail = "right")
print(p_value)

CCI documentation built on Aug. 29, 2025, 5:17 p.m.