hhommodel: Hierarchical homoscedastic model estimates

In pdhoff/fabCI: FAB Confidence Intervals

Description

Estimate across-group heterogeneity of means

Usage

hhommodel(y, g, group, p1)

Arguments

y	a numeric vector of data
g	a group membership vector, of the same length as y
group	the index of the group
p1	number of groups used to pool sample variance

Details

This function estimates parameters in a hierarchical model for normally distributed groups, where the across-group model for means is normal and the variance is the same across groups.

Value

A vector (s2,df,muw,t2w,s2w), where

1. s2 is the pooled variance

2. df is the degree of freedom of the t-quantiles

3. muw is the estimate mean of the group means

4. t2w is the estimate variance of the group means

5. s2w is the estimate within-group variance

Author(s)

Chaoyu Yu

pdhoff/fabCI documentation built on Jan. 18, 2021, 8:39 p.m.