Reference

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