Waldtest {MCPAN}R Documentation

Simultaneous Wald tests

Description

General function for adjusted p-values for an UIT in a one-way layout using multivariate normal distribution.

Usage

Waldtest(estp, varp, cmat, alternative = "greater", dist="MVN")

Arguments

estp

numeric vector of point estimates of length I, with I = the number of samples

varp

numeric vector of variance estimates of length I, to be used for interval construction

cmat

Contrast matrix of dimension MxI, with M = the number of contrasts, I= the number of samples

alternative

character string

dist

a character string, where "MVN" invokes the computation of p-values using the multivariate normal distribution, and "N" invokes use p-value computation using the univariate normal distribution

Value

A list containing:

teststat

a numeric vector of teststatistics of length M

pval

a single numeric p-value, the p-value of the maximum test (minimum p-value)

p.val.adj

a vector of length M, the adjusted p-values of the single contrasts

alternative

a single character vector, as the input

dist

a character string specifying which distribution

Author(s)

Frank Schaarschmidt

See Also

For user level implementations see:

binomRDtest, poly3test


[Package MCPAN version 1.1-21 Index]