Summarize a merMod list
Usage
# S3 method for class 'merModList'
print(x, ...)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)
summary(mod)
#> Warning: Between imputation variance is very small, are imputation sets too similar?
#> [1] "Linear mixed model fit by REML"
#> Model family:
#> lmer(formula = Reaction ~ Days + (Days | Subject), data = d)
#>
#> Fixed Effects:
#> estimate std.error statistic df
#> (Intercept) 251.405 6.825 36.838 9.122454e+49
#> Days 10.467 1.546 6.771 5.478340e+51
#>
#> Random Effects:
#>
#> Error Term Standard Deviations by Level:
#>
#> Subject
#> (Intercept) Days
#> 24.741 5.922
#>
#>
#> Error Term Correlations:
#>
#> Subject
#> (Intercept) Days
#> (Intercept) 1.000 0.066
#> Days 0.066 1.000
#>
#>
#> Residual Error = 25.592
#>
#> ---Groups
#> number of obs: 180, groups: Subject, 18
#>
#> Model Fit Stats
#> AIC = 1755.6
#> Residual standard deviation = 25.592
# }