Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Variation in residual variance is handled and can be modelled as a linear model. The algorithms are currently various Laplace approximations methods for likelihood or restricted likelihood, in particular h-likelihood and penalized-likelihood methods.
|Author||François Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut], GSL authors [ctb] (src/gsl_bessel.*)|
|Date of publication||2017-05-25 22:14:51 UTC|
|Maintainer||François Rousset <email@example.com>|
|Package repository||View on CRAN|
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