elim.redundant.V

rsimplex

upperPoints

connectedSets

extrapolhull

rtnorm.copy

sampleNearby


  Internal spaMM functions, ultimately for smoothing as in Migraine


 internal

spaMM-internal-migraineLike

Inference in mixed models, including GLMMs with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Heteroscedasticity can further be fitted by a linear model. The algorithms are currently various Laplace approximations methods for ML or REML, in particular h-likelihood and penalized-likelihood methods.

Franois Rousset

spaMM

Mixed Models, Particularly Spatial GLMMs

spaMM-internal-migraineLike function

Internal spaMM Functions

spaMM-internal-migraineLike: Internal spaMM Functions

Description

Arguments

Details