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Inference in mixedeffect models, including generalized linear mixed models with spatial correlations and models with nonGaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a generalized linear mixed model. Various approximations of likelihood or restricted likelihood are implemented, in particular hlikelihood (Lee and Nelder 2001
Package details 


Author  François Rousset [aut, cre, cph], JeanBaptiste Ferdy [aut, cph], Alexandre Courtiol [aut], GSL authors [ctb] (src/gsl_bessel.*) 
Date of publication  20180519 21:02:41 UTC 
Maintainer  François Rousset <[email protected]> 
License  CeCILL2 
Version  2.4.35 
URL  https://www.rproject.org http://kimura.univmontp2.fr/~rousset/spaMM.htm 
Package repository  View on CRAN 
Installation 
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