R: Simultaneous Wald tests

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]