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[Experimental] Calculates the estimate, adjusted standard error, degrees of freedom, t statistic and p-value for one-dimensional contrast.

Usage

df_1d(object, 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.

Value

List with est, se, df, t_stat and p_val.

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
#>