__spaMM__ is an R package originally designed for fitting ***spa***tial generalized linear ***M***ixed ***M***odels, particularly the so-called geostatistical model allowing prediction in continuous space. But it is now a more general-purpose package for fitting mixed models, spatial or not, and with efficient methods for both geostatistical and autoregressive models. It can fit models with non-gaussian random effects (e.g., Beta- or Gamma-distributed), structured dispersion models (including residual dispersion models with random effects), and implements several variants of Laplace and PQL approximations, including (but not limited to) those discussed in the _h_-likelihood literature (see References). Some non-GLM response families are now handled. It can also fit multivariate-response models, including some of interest in quantitative genetics.
## What to look for (or not) here ?
This repository provides whatever information I do not try to put into the R package, such as its vignette-like [gentle introduction](https://gitlab.mbb.univ-montp2.fr/francois/spamm-ref/-/blob/master/vignettePlus/spaMMintro.pdf)(latest version: 2022/09/05) and the [slides](https://gitlab.mbb.univ-montp2.fr/francois/spamm-ref/-/blob/master/vignettePlus/MixedModels_useR2021.pdf) from the presentation of spaMM at the [useR2021](https://user2021.r-project.org/) conference.
This repository provides whatever information I do not try to put into the R package, such as its vignette-like [gentle introduction](https://gitlab.mbb.univ-montp2.fr/francois/spamm-ref/-/blob/master/vignettePlus/spaMMintro.pdf)(latest version: 2022/10/26) and the [slides](https://gitlab.mbb.univ-montp2.fr/francois/spamm-ref/-/blob/master/vignettePlus/MixedModels_useR2021.pdf) from the presentation of spaMM at the [useR2021](https://user2021.r-project.org/) conference.
It will also include a few selected versions of spaMM. However, use a CRAN repository for standard installation of the package, and see the (unofficial) [CRAN github repository](https://github.com/cran/spaMM) for an archive of sources for all versions of spaMM previously published on CRAN.
