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v0.1.5

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@github-actions github-actions released this 18 Oct 09:46
· 275 commits to main since this release
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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.