spaMM-S3

dim.precision

print.arglist

print.predictor

print.vcov.HLfit

print.predictions

print.spcall

<p>These are not to be called by the user, or are waiting for documentation to be written.</p>

 internal

Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta). Both classical geostatistical models, and Markov random field models on irregular grids, can be fitted. 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 h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) and Laplace approximation.

Franois Rousset

spaMM

Mixed-Effect Models, Particularly Spatial Models

Fran<c3><a7>ois Rousset

Jean-Baptiste Ferdy

Alexandre Courtiol

GSL authors 

spaMM-S3 function

S3 methods of generics defined in other packages — spaMM-S3

S3 methods of generics defined in other packages

spaMM-S3: S3 methods of generics defined in other packages

Description

Arguments