external-libraries

<p>spaMM is conceived to minimize installation issues but it nevertheless suggests using some external libraries. These are all accessed through R packages so their installation should be easy when installing binary packages.  The Details below give hints for installing packages from source. For all cases not considered below, help yourself. Windows users should have a look at the package manager in the Rtools40 bash shell.</p>

Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models, and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted  likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.

Franois Rousset

spaMM

Mixed-Effect Models, with or without Spatial Random Effects

Fran<c3><a7>ois Rousset

Jean-Baptiste Ferdy

Alexandre Courtiol

GSL authors 

external-libraries function

Installing external libraries — external-libraries

Installing external libraries

external-libraries: Installing external libraries

Description

Arguments

Details