Package: gamlss.spatial 3.0-3

Fernanda De Bastiani

gamlss.spatial: Spatial Terms in Generalized Additive Models for Location Scale and Shape

The packages enables fitting Gaussian Markov Random Fields within the Generalized Additive Models for Location Scale and Shape algorithms.

Authors:Fernanda De Bastiani [aut, cre, cph], Mikis Stasinopoulos [aut], Robert Rigby [aut]

gamlss.spatial_3.0-3.tar.gz
gamlss.spatial_3.0-3.zip(r-4.5)gamlss.spatial_3.0-3.zip(r-4.4)gamlss.spatial_3.0-3.zip(r-4.3)
gamlss.spatial_3.0-3.tgz(r-4.5-any)gamlss.spatial_3.0-3.tgz(r-4.4-any)gamlss.spatial_3.0-3.tgz(r-4.3-any)
gamlss.spatial_3.0-3.tar.gz(r-4.5-noble)gamlss.spatial_3.0-3.tar.gz(r-4.4-noble)
gamlss.spatial_3.0-3.tgz(r-4.4-emscripten)gamlss.spatial_3.0-3.tgz(r-4.3-emscripten)
gamlss.spatial.pdf |gamlss.spatial.html
gamlss.spatial/json (API)
NEWS

# Install 'gamlss.spatial' in R:
install.packages('gamlss.spatial', repos = c('https://gamlss-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gamlss-dev/gamlss.spatial/issues

On CRAN:

Conda:

3.74 score 11 scripts 357 downloads 113 mentions 9 exports 15 dependencies

Last updated 1 years agofrom:81e65be4aa. Checks:1 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-winERRORMar 03 2025
R-4.5-macERRORMar 03 2025
R-4.5-linuxERRORMar 03 2025
R-4.4-winERRORMar 03 2025
R-4.4-macERRORMar 03 2025
R-4.3-winERRORMar 03 2025
R-4.3-macERRORMar 03 2025

Exports:draw.polysgamlss.gmrfgmrfMRFMRFAnb2nbnb2precpolys2nbpolys2polys

Dependencies:dotCall64gamlssgamlss.addgamlss.datagamlss.distlatticeMASSMatrixmgcvnlmennetRcpprpartspamsurvival