glmmsr (0.2.3)

0 users

Fit a Generalized Linear Mixed Model.

Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.

Maintainer: Helen Ogden
Author(s): Helen Ogden [aut, cre]

License: GPL (>= 2)

Uses: lme4, Matrix, numDeriv, R6, Rcpp, testthat, BradleyTerry2, knitr, rmarkdown, mdhglm
Reverse suggests: tram

Released 10 months ago.

5 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of glmmsr yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for glmmsr on google, google scholar, r-help, r-devel.

Visit glmmsr on R Graphical Manual.