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
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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 268 downloads 113 mentions 9 exports 15 dependencies

Last updated 1 years agofrom:81e65be4aa. Checks:1 OK, 8 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winERRORApr 02 2025
R-4.5-macERRORApr 02 2025
R-4.5-linuxERRORApr 02 2025
R-4.4-winERRORApr 02 2025
R-4.4-macERRORApr 02 2025
R-4.4-linuxERRORApr 02 2025
R-4.3-winERRORApr 02 2025
R-4.3-macERRORApr 02 2025

Exports:draw.polysgamlss.gmrfgmrfMRFMRFAnb2nbnb2precpolys2nbpolys2polys

Dependencies:dotCall64gamlssgamlss.addgamlss.datagamlss.distlatticeMASSMatrixmgcvnlmennetRcpprpartspamsurvival