R: Permutation Test

doTest {libcoin} | 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`.

### Details

Computes a test statistic, a corresponding p-value and, optionally, cutpoints for maximally selected statistics.

### Value

A list.

[Package libcoin version 1.0-5 Index]