identifyCoeffs: Index To Identify Fixed and Random Coefficients To Appear...

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

Index To Identify Fixed and Random Coefficients To Appear Together on Plot

Description

Runs the defined, grouped linear mixed effects (lme) model. Displays the resulting fixed and random coefficients. Attaches codes for identifying them to the plotting functions of this package.

Usage

identifyCoeffs(fixed, data, random, 
    XmaxIter = 1000, XmsMaxIter = 1000, 
    Xtolerance = 0.01, XniterEM = 1000, XmsMaxEval = 400, XmsTol = 1e-05, 
    Xopt = "optim", verbose = TRUE)

Arguments

fixed	2-sided formula for fixed effects
data	Name of file (to be) run by forsearch_lme
random	1-sided formula for random effects
XmaxIter	lme control parameter
XmsMaxIter	lme control parameter
Xtolerance	lme control parameter
XniterEM	lme control parameter
XmsMaxEval	lme control parameter
XmsTol	lme control parameter
Xopt	lme control parameter
verbose	If TRUE, indicates beginning and end of function

Details

Plotting functions cannot plot more than a few coefficients on one graph. This function prepares an index of the coefficients so that the user can more easily identify which ones should appear together in a plot.

Value

Index of fixed and random coefficients from forsearch_lme.

Author(s)

William R. Fairweather

References

Atkinson, A and M Riani. Robust Diagnostic Regression Analysis, Springer, New York, 2000.

Examples

info3 <- system.file("extdata","Machines.O.R",package="forsearch");
info3 <- source(info3);
info3 <- info3[[1]]; 
identifyCoeffs(fixed=score~1, data=info3, random= ~1 | Worker)

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