bStep2: Update Observation Numbers in Step 2

In forsearch: Diagnostic Analysis Using Forward Search Procedure for Various Models

Update Observation Numbers in Step 2

Description

Derives the set of Step 2 observation numbers for forsearch in linear mixed effects models

Usage

bStep2(yf, f2, dfa2, randm2, onlyfactor = FALSE,ms, ycol, initn, inc, finalm, fbg, b.d)

Arguments

yf	Logical. Indicates presence of factor variables
f2	Fixed parameter formula
dfa2	Complete data set with factor subset identification codes
randm2	Random parameter formula
onlyfactor	TRUE if there are no continuous independent variables in the model
ms	Number of observations beginning Step 2
ycol	Column number of response variable
initn	Vector of number of observations from each group or fixed factor subset to draw for primary stage of step 2
inc	Logical. TRUE causes relaxation of lmeControl
finalm	List of expanding subset observation numbers
fbg	List of observation numbers by factor subgroup
b.d	Indicator of place in code to begin diagnostic printouts

Details

Support function, usually not called independently

Value

List of expanding number sets corresponding to observation numbers

Author(s)

William R. Fairweather

forsearch documentation built on April 4, 2025, 5:52 a.m.