Waldci: Simultaneous Wald confidence intervals

In MCPAN: Multiple Comparisons Using Normal Approximation

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

MCPAN documentation built on May 1, 2019, 8:04 p.m.