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]>

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pgam.pdf |pgam.html✨
pgam/json (API)

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

Bug tracker:https://github.com/wjunger/pgam/issues

Datasets:

On CRAN:

Conda:

3.10 score 25 scripts 368 downloads 3 exports 0 dependencies

Last updated 3 years agofrom:563c994804. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-win-x86_64OKMar 23 2025
R-4.5-mac-x86_64OKMar 23 2025
R-4.5-mac-aarch64OKMar 23 2025
R-4.5-linux-x86_64OKMar 23 2025
R-4.4-win-x86_64OKMar 23 2025
R-4.4-mac-x86_64OKMar 23 2025
R-4.4-mac-aarch64OKMar 23 2025
R-4.4-linux-x86_64OKMar 23 2025
R-4.3-win-x86_64OKMar 23 2025
R-4.3-mac-x86_64OKMar 23 2025
R-4.3-mac-aarch64OKMar 23 2025

Exports:periodogrampgamtbl2tex

Dependencies: