bStep1: Create Set of Observation Numbers in Step 1 for Linear Mixed...

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

Create Set of Observation Numbers in Step 1 for Linear Mixed Effects Model Analysis

Description

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

Usage

bStep1(yesfactor, df1, df1.ls, groups, inner.rank, source, initial.sample, 
      nofactform = NULL, formulaA, randform, inc, ycol, b.d)

Arguments

yesfactor	Logical. TRUE if there are factors in the X matrix
df1	Data frame being analyzed by forward search.
df1.ls	List, each element of which is a factor subset of df1
groups	Vector of Quoted names of group variables
inner.rank	Rank of X matrix of lme analysis on entire database
source	Vector list of subsets provding observations
initial.sample	Number of random samples from which to take set of initial observations
nofactform	2-sided formula without factors
formulaA	Formula for all effects including factors and constructed variables
randform	One-sided random effects formula
inc	Logical. TRUE causes relaxation of lmeControl
ycol	Response column number
b.d	Index of point to begin diagnostic listings

Details

Support function, usually not called independently

Value

Produces set of observation numbers for Step 1. Accounts for presence of factors and groups in the dataset

Note

Presence of Observation column has no effect on outcome

Author(s)

William R. Fairweather

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