elim.redundant.V

rsimplex

upperPoints

connectedSets

extrapolhull

old.nextPoints

ordinaryKrigingCoefs

rtnorm.copy

sampleNearby

sampleNextPoints

Internal spaMM functions, ultimately for smoothing as in Migraine

internal

spaMM-internal-migraineLike

Implements a collection of functions for inference in mixed models. It was developed in particular for GLMMs with spatial correlations, but also fits models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Heteroskedasticity 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.  

spaMM-internal-migraineLike: Internal spaMM Functions

Description

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Details