Calculates the estimate, adjusted standard error, degrees of freedom,
t statistic and p-value for one-dimensional contrast.
Arguments
- object
 (
mmrm)
the MMRM fit.- contrast
 (
numeric)
contrast vector. Note that this should not include elements for singular coefficient estimates, i.e. only refer to the actually estimated coefficients.
Examples
object <- mmrm(
  formula = FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID),
  data = fev_data
)
contrast <- numeric(length(object$beta_est))
contrast[3] <- 1
df_1d(object, contrast)
#> $est
#> [1] 5.643565
#> 
#> $se
#> [1] 0.6656093
#> 
#> $df
#> [1] 157.1382
#> 
#> $t_stat
#> [1] 8.478795
#> 
#> $p_val
#> [1] 1.564869e-14
#>