The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 0.4.17 |
| Depends: | R (≥ 3.0.0), stats, utils |
| Published: | 2022-08-19 |
| DOI: | 10.32614/CRAN.package.pgam |
| Author: | Washington Junger |
| Maintainer: | Washington Junger <wjunger at ims.uerj.br> |
| License: | GPL-3 | file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | pgam results |
| Reference manual: | pgam.pdf |
| Package source: | pgam_0.4.17.tar.gz |
| Windows binaries: | r-devel: pgam_0.4.17.zip, r-release: pgam_0.4.17.zip, r-oldrel: pgam_0.4.17.zip |
| macOS binaries: | r-release (arm64): pgam_0.4.17.tgz, r-oldrel (arm64): pgam_0.4.17.tgz, r-release (x86_64): pgam_0.4.17.tgz, r-oldrel (x86_64): pgam_0.4.17.tgz |
| Old sources: | pgam archive |
Please use the canonical form https://CRAN.R-project.org/package=pgam to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.