%id*id%

alternating

auglinmodfit

Bartlett.robust

Beta

calc.p_v

calc.w.resid

checkRandLinkS

checkRandLink

checkRespFam

compare.model.structures

compute.ZALlist

CondNormfn

corr.notEQL.lambda

Dim.corMatern

eval.update.call

eval.corrEst.args

GammaForDispGammaGLM

getCallHL

getHLfit

HLCor.obj

HL_process.args

HL_strictify

HLframes

Initialize.corMatern

intervalStep

LRT.corrHL

loglfn.ranU

Matern.local

Variogram.corMatern

asStandardFormula

bessel_lnKnu

calc.tXinvS

calcDhDv2

calcNewCorrs

calcPredVar

calcResidVar

clean_cs

checkDistMatrix

coef.corMatern

coef<-.corMatern

corFactor.corMatern

corMatrix.corMatern

corrMM.LRT

d2mudeta2fn

DEPARSE

dispFn

dispGammaGLM

dispInv

extract.check.coords

findOffset

findSpatial

parseBars

findbarsMM

findplus

formula.HLfit

generateFileName

generateName

getCovariate.corMatern

getgroups

getPar

getProcessed

is.square.diagonal

is.identity

largeLambdaMessages

legend_lambda

LevenbergMstep

LevenbergMstepCallingCpp

locoptim

locoptimthroughSmooth

logDet.corMatern

LogAbsDetWrap

makeCheckGeoMatrices

makeCovEst

makeLowerUpper

muetafn

newetaFix

nextPoints

nobarsMM

nobarsNooffset

noOffset

noReForm

nuFn

nuInv

pastefrom

plotdhglm

post.process.ZALlist

preprocess

print.arglist

print.predictor

print.ranef

recalc.corMatern

rhoFn

rhoInv

rntneg

rntpos

safesolve.qr.matrix

safesolve.qr.vector

internal

spaMM-internal

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: Internal spaMM Functions

Description

Arguments

Details