Simulate fixed effects from merMod FEsim simulates fixed effects from merMod object posterior distributions — FEsim • merTools

Simulate fixed effects from merMod FEsim simulates fixed effects from merMod object posterior distributions

Usage

FEsim(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

Value

a data frame with the following columns

term: Name of fixed term (intercept/coefficient)
mean: Mean of the simulations
median: Median of the simulations
sd: Standard deviation of the simulations, NA if oddsRatio=TRUE

Details

Use the Gelman sim technique to build fixed effect estimates and confidence intervals. Uses the sim function in the arm package

Examples

require(lme4)
m2 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
fe2 <- FEsim(m2, 25)
head(fe2)
#>          term      mean    median       sd
#> 1 (Intercept) 250.17301 250.48344 5.332610
#> 2        Days  10.60686  10.71097 1.305392