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First version of the package for fitting mixed models for repeated measures
(MMRM) based on Template Model Builder (TMB).
The motivation for this package is to have a fast, reliable (in terms of
convergence behavior) and feature complete implementation of MMRM in R.
New Features
Currently 9 covariance structures are supported (unstructured, as well as
homogeneous and heterogeneous versions of Toeplitz, auto-regressive order one,
ante-dependence, compound symmetry).
Fast C++ implementation of Maximum Likelihood (ML) and Restricted Maximum
Likelihood (REML) estimation.
Satterthwaite adjusted degrees of freedom calculation.
Interface to the emmeans package for computing estimated marginal means
(also called least-square means) for the coefficients.
Multiple optimizers are run to allow for as much convergence chance as possible.
Flexible formula based model specification and support for standard S3 methods such
as summary, logLik, etc.