Cholwrap

crossprodCpp

lmwithQ

LevPerturbedQCpp

LevenbergMsolveCpp

leverages

LogAbsDetCpp

pseudoSolvediag

QRwrap

Rcpp_QR

Rcpp_qr_Q

Rcpp_Sig

Rcpp_d2hdv2

RcppChol

Rcpp_gibbs

Rcpp_gibbs_debug

Rcpp_gibbs_iter

selfAdjointSolverCpp

sweepZ1W

tcrossprodCpp

ZWZt

ZtWZ

Rcpp_pMVN

zrnorm

 internal

spaMM-Rcpp-internal

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-Rcpp-internal function

Internal spaMM Functions using Rcpp/RcppEigen

spaMM-Rcpp-internal: Internal spaMM Functions using Rcpp/RcppEigen

Description

Arguments

Details