lmer.display: table for "lmerMod" or "glmerMod" object (lme4 package)
Source:R/lmer.R
lmer.display.Rd
Make mixed effect model results from "lmerMod" or "glmerMod" object (lme4 package)
Examples
library(geepack)
data(dietox)
dietox$Cu <- as.factor(dietox$Cu)
l1 <- lme4::lmer(Weight ~ Time + Cu + (1 | Pig) + (1 | Evit), data = dietox)
lmer.display(l1)
#> boundary (singular) fit: see help('isSingular')
#> boundary (singular) fit: see help('isSingular')
#> $table
#> crude coeff(95%CI) crude P value adj. coeff(95%CI)
#> Time 6.94 (6.88, 7.01) 0.0000000 6.94 (6.88, 7.01)
#> Cu: ref.=Cu000 <NA> NA <NA>
#> 035 -0.57 (-4.66, 3.52) 0.7837049 -0.81 (-4.42, 2.8)
#> 175 1.9 (-2.23, 6.04) 0.3666825 1.78 (-1.87, 5.42)
#> Random effects <NA> NA <NA>
#> Pig 39.7 NA <NA>
#> Evit 0.91 NA <NA>
#> Residual 11.37 NA <NA>
#> Metrics <NA> NA <NA>
#> No. of groups (Pig) 72 NA <NA>
#> No. of groups (Evit) 3 NA <NA>
#> No. of observations 861 NA <NA>
#> Log-likelihood -2400.69 NA <NA>
#> AIC value 4801.38 NA <NA>
#> adj. P value
#> Time 0.0000000
#> Cu: ref.=Cu000 NA
#> 035 0.6599123
#> 175 0.3393019
#> Random effects NA
#> Pig NA
#> Evit NA
#> Residual NA
#> Metrics NA
#> No. of groups (Pig) NA
#> No. of groups (Evit) NA
#> No. of observations NA
#> Log-likelihood NA
#> AIC value NA
#>
#> $caption
#> [1] "Linear mixed model fit by REML : Weight ~ Time + Cu + (1 | Pig) + (1 | Evit)"
#>