Refitting MMRM with Multiple Optimizers

refit_multiple_optimizers(fit, ..., control = mmrm_control(...))

Arguments

fit

(mmrm_fit)
original model fit from fit_single_optimizer().

...

Additional arguments passed to mmrm_control().

control

(mmrm_control)
object.

Value

The best (in terms of log likelihood) fit which converged.

Note

For Windows, no parallel computations are currently implemented.

Examples

fit <- fit_single_optimizer(
  formula = FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID),
  data = fev_data,
  weights = rep(1, nrow(fev_data)),
  optimizer = "nlminb"
)
best_fit <- refit_multiple_optimizers(fit)