| REsim {merTools} | R Documentation |
Simulate random effects from merMod
REsim simulates random effects from merMod object posterior distributions
Description
Simulate random effects from merMod
REsim simulates random effects from merMod object posterior distributions
Usage
REsim(merMod, n.sims = 200, oddsRatio = FALSE, seed = NULL)
Arguments
merMod |
a merMod object from the lme4 package |
n.sims |
number of simulations to use |
oddsRatio |
logical, should parameters be converted to odds ratios? |
seed |
numeric, optional argument to set seed for simulations |
Details
Use the Gelman sim technique to build empirical Bayes estimates. Uses the sim function in the arm package
Value
a data frame with the following columns
groupFctrName of the grouping factor
groupIDLevel of the grouping factor
termName of random term (intercept/coefficient)
meanMean of the simulations
medianMedian of the simulations
sdStandard deviation of the simulations,
NAifoddsRatio=TRUE
Examples
require(lme4)
m2 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
re2 <- REsim(m2, 25)
head(re2)
[Package merTools version 0.6.2 Index]