Package index • mmrm

Package

mmrm-package: mmrm Package

Functions

mmrm() stable: Fit an MMRM

fit_mmrm() stable: Low-Level Fitting Function for MMRM

mmrm_control() stable: Control Parameters for Fitting an MMRM

fit_single_optimizer() stable: Fitting an MMRM with Single Optimizer

refit_multiple_optimizers() stable: Refitting MMRM with Multiple Optimizers

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

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

component() stable: 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>) stable: Methods for mmrm Objects

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

anova(<mmrm>): Analysis of Variance for mmrm Fits

Covariance Structures

cov_struct() stable: Define a Covariance Structure

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

format(<cov_struct>): Format Covariance Structure Object

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

cov_types() stable: Covariance Types

Estimate Marginal Means

emmeans_support stable: Support for emmeans

Datasets

fev_data stable: Example Data on FEV1

bcva_data stable: Example Data on BCVA