Function reference • mmrm

Package

mmrm-package: mmrm Package

Functions

mmrm(): Fit an MMRM

fit_mmrm(): Low-Level Fitting Function for MMRM

mmrm_control(): Control Parameters for Fitting an MMRM

fit_single_optimizer(): Fitting an MMRM with Single Optimizer

refit_multiple_optimizers(): Refitting MMRM with Multiple Optimizers

df_1d(): Calculation of Degrees of Freedom for One-Dimensional Contrast

df_md(): Calculation of Degrees of Freedom for Multi-Dimensional Contrast

component(): Component Access for mmrm_tmb Objects

Start Values

std_start(): Standard Starting Value

emp_start(): Empirical Starting Value

Methods

summary(<mmrm>) print(<summary.mmrm>) confint(<mmrm>): Methods for mmrm Objects

tidy(<mmrm>) glance(<mmrm>) augment(<mmrm>): Tidying Methods for mmrm Objects

coef(<mmrm_tmb>) fitted(<mmrm_tmb>) predict(<mmrm_tmb>) model.frame(<mmrm_tmb>) model.matrix(<mmrm_tmb>) terms(<mmrm_tmb>) logLik(<mmrm_tmb>) formula(<mmrm_tmb>) vcov(<mmrm_tmb>) VarCorr(<mmrm_tmb>) deviance(<mmrm_tmb>) AIC(<mmrm_tmb>) BIC(<mmrm_tmb>) print(<mmrm_tmb>) residuals(<mmrm_tmb>) simulate(<mmrm_tmb>): Methods for mmrm_tmb Objects

Covariance Structures

cov_struct(): Define a Covariance Structure

as.cov_struct(): Coerce into a Covariance Structure Definition

format(<cov_struct>): Format Covariance Structure Object

print(<cov_struct>): Print a Covariance Structure Object

cov_types(): Covariance Types

Estimate Marginal Means

emmeans_support: Support for emmeans

Datasets

fev_data: Example Data on FEV1

bcva_data: Example Data on BCVA