profilelike.lme: Profile Likelihood for Linear Mixed-Effects Models

In ProfileLikelihood: Profile Likelihood for a Parameter in Commonly Used Statistical Models

Profile Likelihood for Linear Mixed-Effects Models

Description

This function provides values for a profile likelihood and a normalized profile likelihood for a parameter of interest in a linear mixed-effects model.

Usage

profilelike.lme(formula, data, subject, random, correlation = NULL, 
	profile.theta, method = "ML", lo.theta, hi.theta, length = 300, 
	round = 2, subset = NULL, weights = NULL, ...)

Arguments

formula	see corresponding documentation in lme.
data	a data frame. See corresponding documentation in lme.
subject	see corresponding documentation in lme.
random	see corresponding documentation in lme.
correlation	see corresponding documentation in lme.
profile.theta	a parameter of interest, theta; must be a numeric variable.
method	see corresponding documentation in lme.
lo.theta	lower bound for a parameter of interest to obtain values for a profile likelihood.
hi.theta	upper bound for a parameter of interest to obtain values for a profile likelihood.
length	length of numerical grid values for a parameter of interest to obtain values for a profile likelihood.
round	the number of decimal places for round function to automatically define lower and upper bounds of numerical grid for a parameter of interest. If an automatically defined parameter range is not appropriate, increase the number or specify lo.theta and hi.theta.
subset	should not be provided.
weights	should not be provided.
...	further arguments passed to or from other methods.

Details

This function provides values for a profile likelihood and a normalized profile likelihood for a parameter of interest in a linear mixed-effects model. Users must define a parameter of interest in a linear mixed-effects model. This function can be used for models comparable with the lme function. However, arguments weights and subset should not be provided. A normalized profile likelihood is obtained by a profile likelihood being divided by the maximum value of the profile likelihood so that a normalized profile likelihood ranges from 0 to 1.

Value

theta	numerical grid values for a parameter of interest in a specified range (between lower and upper bounds).
profile.lik	numerical values for a profile likelihood corresponding to theta in a specified range (between lower and upper bounds).
profile.lik.norm	numerical values for a normalized profile likelihood ranging from 0 to 1.

Warning

Arguments weights and subset in the lme function are not comparable.

Missing values should be removed.

Author(s)

Leena Choi <[e-mail]>

See Also

profilelike.plot, profilelike.summary, profilelike.lm, profilelike.glm, profilelike.polr, profilelike.gls, lme

Examples

## Not run: 
xx <- profilelike.lme(formula = yield ~ endpoint, random = ~ 1 | id, 
		correlation=corAR1(form = ~ 1 | id), data=Gasoline, subject="Sample", 
		profile.theta="vapor", method="ML", lo.theta=1, hi.theta=5, length=500, round=2)
profilelike.plot(theta=xx$theta, profile.lik.norm=xx$profile.lik.norm, round=4)

## End(Not run)

ProfileLikelihood documentation built on Aug. 25, 2023, 5:15 p.m.