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.

Examples

fit <- mmrm(
  formula = FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID),
  data = fev_data
)
if (require(emmeans)) {
  emmeans(fit, ~ ARMCD | AVISIT)
}
#> Loading required package: emmeans
#> AVISIT = VIS1:
#>  ARMCD emmean    SE  df lower.CL upper.CL
#>  PBO     33.3 0.755 148     31.8     34.8
#>  TRT     37.1 0.763 143     35.6     38.6
#> 
#> AVISIT = VIS2:
#>  ARMCD emmean    SE  df lower.CL upper.CL
#>  PBO     38.2 0.612 147     37.0     39.4
#>  TRT     41.9 0.602 143     40.7     43.1
#> 
#> AVISIT = VIS3:
#>  ARMCD emmean    SE  df lower.CL upper.CL
#>  PBO     43.7 0.462 130     42.8     44.6
#>  TRT     46.8 0.509 130     45.7     47.8
#> 
#> AVISIT = VIS4:
#>  ARMCD emmean    SE  df lower.CL upper.CL
#>  PBO     48.4 1.189 134     46.0     50.7
#>  TRT     52.8 1.188 133     50.4     55.1
#> 
#> Results are averaged over the levels of: RACE, SEX 
#> Confidence level used: 0.95