Extract averaged fixed effect parameters across a list of merMod objects

Usage

modelFixedEff(modList, ...)

Arguments

modList: an object of class merModList
...: additional arguments to pass to tidy

Value

a data.frame of the averaged fixed effect parameters

Details

The Rubin correction for combining estimates and standard errors from Rubin (1987) is applied to adjust for the within and between imputation variances.

Examples

# \donttest{
sim_list <- replicate(n = 10,
        expr = sleepstudy[sample(row.names(sleepstudy), 180),],
        simplify=FALSE)
fml <- "Reaction ~ Days + (Days | Subject)"
mod <- lmerModList(fml, data = sim_list)
modelFixedEff(mod)
#> Warning: Between imputation variance is very small, are imputation sets too similar?
#>          term  estimate std.error statistic           df
#> 1 (Intercept) 251.40510  6.824597 36.838090 6.956236e+49
#> 2        Days  10.46729  1.545790  6.771481 4.537864e+51
# }