COMP_dnu_objfn

COMP_maxn

COMP_Z

COMP_Z_lfacn

COMP_Z_n

COMP_Z_n2

COMP_Z_n3

COMP_Z_ratio

dCOMP

Rcpp_COMP_Z

 internal

COMPoisson-internal

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.

Franois Rousset

spaMM

Mixed-Effect Models, Particularly Spatial Models

Fran<c3><a7>ois Rousset

Jean-Baptiste Ferdy

Alexandre Courtiol

GSL authors 

COMPoisson-internal function

Internal Functions for COM-Poisson family — COMPoisson-internal

Internal Functions for COM-Poisson family

COMPoisson-internal: Internal Functions for COM-Poisson family

Description

Arguments

Details