R: Simultaneous Wald confidence intervals

Waldci {MCPAN} | R Documentation

## Simultaneous Wald confidence intervals

### Description

General function for simultaneous CIs in a one-way layout using multivariate normal distribution.

### Usage

    Waldci(cmat, estp, varp, varcor, alternative = "two.sided", conf.level = 0.95, dist="MVN")

### Arguments

`cmat` | Contrast matrix of dimension MxI, with M = the number of contrasts, I= the number of samples
`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
`varcor` | numeric vector of variance estimates of length I
`alternative` | character string
`conf.level` | single numeric vector
`dist` | a character string, `"MVN"` invokes multiplicity adjustment via the multivariate normal distribution, `"N"` invokes use of quantiles of the univariate normal distribution

### Details

Mainly for internal use.

### Value

A list containing:

`conf.int` | a matrix with 2 columns: lower and upper confidence bounds, and M rows
`alternative` | character string, as input
`conf.level` | single numeric value, as input
`quantile` | the quantile used to construct the CIs

### Author(s)

Frank Schaarschmidt

### See Also

For user level implementations see: `binomRDci`, `binomORci`, `poly3ci`

[Package MCPAN version 1.1-21 Index]