doTest: Permutation Test
In libcoin: Linear Test Statistics for Permutation Inference

View source: R/libcoin.R

doTest

R Documentation

Permutation Test

Description

Perform permutation test for a linear statistic

Usage

doTest(object, teststat = c("maximum", "quadratic", "scalar"),
       alternative = c("two.sided", "less", "greater"), pvalue = TRUE,
       lower = FALSE, log = FALSE, PermutedStatistics = FALSE,
       minbucket = 10L, ordered = TRUE, maxselect = object$Xfactor,
       pargs = GenzBretz())

Arguments

`object`	an object returned by `LinStatExpCov`.
`teststat`	type of test statistic to use.
`alternative`	alternative for scalar or maximum-type statistics.
`pvalue`	a logical indicating if a p-value shall be computed.
`lower`	a logical indicating if a p-value (`lower` is `FALSE`) or 1 - p-value (`lower` is `TRUE`) shall be returned.
`log`	a logical, if `TRUE` probabilities are log-probabilities.
`PermutedStatistics`	a logical, return permuted test statistics.
`minbucket`	minimum weight in either of two groups for maximally selected statistics.
`ordered`	a logical, if `TRUE` maximally selected statistics assume that the cutpoints are ordered.
`maxselect`	a logical, if `TRUE` maximally selected statistics are computed. This requires that `X` was an implicitly defined design matrix in `LinStatExpCov`.
`pargs`	arguments as in `GenzBretz`.