Support for emmeans — emmeans

This package includes methods that allow mmrm objects to be used with the emmeans package. emmeans computes estimated marginal means (also called least-square means) for the coefficients of the MMRM. We can also e.g. obtain differences between groups by applying pairs() on the object returned by emmeans::emmeans().

Examples

fit <- mmrm(
  formula = FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID),
  data = fev_data
)
if (require(emmeans)) {
  emmeans(fit, ~ ARMCD | AVISIT)
  pairs(emmeans(fit, ~ ARMCD | AVISIT), reverse = TRUE)
}
#> Loading required package: emmeans
#> Welcome to emmeans.
#> Caution: You lose important information if you filter this package's results.
#> See '? untidy'
#> AVISIT = VIS1:
#>  contrast  estimate    SE  df t.ratio p.value
#>  TRT - PBO     3.77 1.074 146   3.514  0.0006
#> 
#> AVISIT = VIS2:
#>  contrast  estimate    SE  df t.ratio p.value
#>  TRT - PBO     3.73 0.859 145   4.346  <.0001
#> 
#> AVISIT = VIS3:
#>  contrast  estimate    SE  df t.ratio p.value
#>  TRT - PBO     3.08 0.690 131   4.467  <.0001
#> 
#> AVISIT = VIS4:
#>  contrast  estimate    SE  df t.ratio p.value
#>  TRT - PBO     4.40 1.681 133   2.617  0.0099
#> 
#> Results are averaged over the levels of: RACE, SEX