refit_multiple_optimizers: Refitting MMRM with Multiple Optimizers

In mmrm: Mixed Models for Repeated Measures

Refitting MMRM with Multiple Optimizers

Description

Usage

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)

mmrm documentation built on Oct. 7, 2024, 1:14 a.m.