varcomp: Calculate SE and CI of variance components for 'lmer' or...

In predictmeans: Predicted Means for Linear and Semiparametric Models

Calculate SE and CI of variance components for lmer or lme model

Description

This function calculates SE and CI of variance components for lmer or lme model.

Usage

varcomp(model, ci=TRUE, level=0.95) 

Arguments

model	Model object returned by lmer or lme.
ci	a logical value to indicates wheather or not to simulate a confidence interval for lmer model, the default value is TRUE.
level	level of confidence of CI, the default value is 0.95.

Value

Variance components table.

Author(s)

Dongwen Luo, Siva Ganesh and John Koolaard

Examples

library(predictmeans)
Oats$nitro <- factor(Oats$nitro) 
fm <- lmer(yield ~ nitro*Variety+(1|Block/Variety), data=Oats)
## Not run: varcomp(fm)
fm1 <- lme(yield ~ nitro*Variety, random=~1|Block/Variety, data=Oats)
varcomp(fm1)

data(Orthodont, package="nlme")
mod <- lmer(distance ~ age + (age|Subject), data=Orthodont)
## Not run: varcomp(mod)
mod1 <- lme(distance ~ age, random=~age|Subject, data=Orthodont)
varcomp(mod1)

predictmeans documentation built on Oct. 20, 2023, 5:07 p.m.