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pgam  

Poisson-Gamma Additive Models
View on CRAN: Click here


Download and install pgam package within the R console
Install from CRAN:
install.packages("pgam")

Install from Github:
library("remotes")
install_github("cran/pgam")

Install by package version:
library("remotes")
install_version("pgam", "0.4.17")



Attach the package and use:
library("pgam")
Maintained by
Washington Junger
[Scholar Profile | Author Map]
First Published: 2004-02-21
Latest Update: 2022-08-19
Description:
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.
How to cite:
Washington Junger (2004). pgam: Poisson-Gamma Additive Models. R package version 0.4.17, https://cran.r-project.org/web/packages/pgam. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.3.2 (2004-02-21 14:14), 0.3.3 (2004-03-19 08:19), 0.3.4 (2004-04-18 23:01), 0.4.0 (2004-08-27 13:44), 0.4.1 (2005-02-14 20:35), 0.4.2 (2005-03-07 09:46), 0.4.3 (2005-05-04 18:59), 0.4.4 (2005-10-05 09:27), 0.4.5 (2006-05-12 09:43), 0.4.6 (2006-09-23 08:25), 0.4.7 (2007-04-18 09:42), 0.4.8 (2007-12-18 20:30), 0.4.9 (2009-06-17 11:13), 0.4.11 (2011-01-03 13:35), 0.4.12 (2012-01-13 17:07), 0.4.15 (2018-01-24 21:55)
Other packages that cited pgam R package
View pgam citation profile
Other R packages that pgam depends, imports, suggests or enhances
Complete documentation for pgam
Functions, R codes and Examples using the pgam R package
Some associated functions: AIC.pgam . aihrio . backfitting . bksmooth . coef.pgam . deviance.pgam . elapsedtime . envelope . envelope.pgam . f . fitted.pgam . fnz . formparser . framebuilder . g . link . logLik.pgam . lpnorm . periodogram . pgam.filter . pgam.fit . pgam.hes2se . pgam.likelihood . pgam . pgam.par2psi . pgam.psi2par . plot.pgam . predict.pgam . print.pgam . print.summary.pgam . residuals.pgam . summary.pgam . tbl2tex . 
Some associated R codes: Full pgam package functions and examples
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