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:
pgam_0.4.17.tar.gz
pgam_0.4.17.zip(r-4.5)pgam_0.4.17.zip(r-4.4)pgam_0.4.17.zip(r-4.3)
pgam_0.4.17.tgz(r-4.4-x86_64)pgam_0.4.17.tgz(r-4.4-arm64)pgam_0.4.17.tgz(r-4.3-x86_64)pgam_0.4.17.tgz(r-4.3-arm64)
pgam_0.4.17.tar.gz(r-4.5-noble)pgam_0.4.17.tar.gz(r-4.4-noble)
pgam_0.4.17.tgz(r-4.4-emscripten)pgam_0.4.17.tgz(r-4.3-emscripten)
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
- aihrio - Sample dataset
Last updated 2 years agofrom:563c994804. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 24 2024 |
| R-4.5-win-x86_64 | OK | Oct 24 2024 |
| R-4.5-linux-x86_64 | OK | Oct 24 2024 |
| R-4.4-win-x86_64 | OK | Oct 24 2024 |
| R-4.4-mac-x86_64 | OK | Oct 24 2024 |
| R-4.4-mac-aarch64 | OK | Oct 24 2024 |
| R-4.3-win-x86_64 | OK | Oct 24 2024 |
| R-4.3-mac-x86_64 | OK | Oct 24 2024 |
| R-4.3-mac-aarch64 | OK | Oct 24 2024 |
Exports:periodogrampgamtbl2tex
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AIC extraction | AIC.pgam |
| Sample dataset | aihrio |
| Coefficients extraction | coef.pgam |
| Deviance extraction | deviance.pgam |
| Normal plot with simulated envelope of the residuals. | envelope.pgam |
| Utility function | f |
| Fitted values extraction | fitted.pgam |
| Utility function | g |
| Loglik extraction | logLik.pgam |
| Raw Periodogram | periodogram |
| Poisson-Gamma Additive Models | pgam |
| Plot of estimated curves | plot.pgam |
| Prediction | predict.pgam |
| Model output | print.pgam |
| Summary output | print.summary.pgam |
| Residuals extraction | residuals.pgam |
| Summary output | summary.pgam |
| LaTeX table exporter | tbl2tex |
