Package: pgam 0.4.17

pgam: Poisson-Gamma Additive Models

This work is an extension of the state space model for Poisson count data, Poisson-Gamma model, towards a semiparametric specification. Just like the generalized additive models (GAM), cubic splines are used for covariate smoothing. The semiparametric models are fitted by an iterative process that combines maximization of likelihood and backfitting algorithm.

Authors:Washington Junger <[email protected]>

pgam_0.4.17.tar.gz
pgam_0.4.17.zip(r-4.7-x86_64)pgam_0.4.17.zip(r-4.7-arm64)pgam_0.4.17.zip(r-4.6-x86_64)pgam_0.4.17.zip(r-4.6-arm64)pgam_0.4.17.zip(r-4.5-x86_64)
pgam_0.4.17.tgz(r-4.6-x86_64)pgam_0.4.17.tgz(r-4.6-arm64)pgam_0.4.17.tgz(r-4.5-x86_64)pgam_0.4.17.tgz(r-4.5-arm64)
pgam_0.4.17.tar.gz(r-4.7-arm64)pgam_0.4.17.tar.gz(r-4.7-x86_64)pgam_0.4.17.tar.gz(r-4.6-arm64)pgam_0.4.17.tar.gz(r-4.6-x86_64)
pgam_0.4.17.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pgam/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.08 score 24 scripts 265 downloads 3 exports 0 dependencies

Last updated from:93ffc220a2. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK94
linux-devel-x86_64OK112
source / vignettesOK178
linux-release-arm64OK87
linux-release-x86_64OK100
macos-release-arm64OK120
macos-release-x86_64OK334
macos-oldrel-arm64OK134
macos-oldrel-x86_64OK463
windows-devel-arm64OK315
windows-devel-x86_64OK80
windows-release-arm64OK321
windows-release-x86_64OK68
windows-oldrel-x86_64OK71
wasm-releaseOK89

Exports:periodogrampgamtbl2tex

Dependencies: