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_3.0-3.tgz(r-4.4-any)gamlss.spatial_3.0-3.tgz(r-4.3-any)
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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'))

Peer review:

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

On CRAN:

2.74 score 11 scripts 245 downloads 9 exports 15 dependencies

Last updated 1 years agofrom:81e65be4aa. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winERROROct 30 2024
R-4.5-linuxERROROct 30 2024
R-4.4-winERROROct 30 2024
R-4.4-macERROROct 30 2024
R-4.3-winERROROct 30 2024
R-4.3-macERROROct 30 2024

Exports:draw.polysgamlss.gmrfgmrfMRFMRFAnb2nbnb2precpolys2nbpolys2polys

Dependencies:dotCall64gamlssgamlss.addgamlss.datagamlss.distlatticeMASSMatrixmgcvnlmennetRcpprpartspamsurvival