pgam: Poisson-Gamma Additive Models.
Version 0.4.12

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.

AuthorWashington Junger <wjunger@ims.uerj.br> and Antonio Ponce de Leon <ponce@ims.uerj.br>
Date of publication2012-01-13 16:07:51
MaintainerWashington Junger <wjunger@ims.uerj.br>
LicenseGPL (>= 2)
Version0.4.12
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("pgam")

Popular man pages

aihrio: Sample dataset
backfitting: Backfitting algorithm
f: Utility function
fnz: Utility function
link: Utility function
pgam.psi2par: Utility function
residuals.pgam: Residuals extraction
See all...

All man pages Function index File listing

Man pages

AIC.pgam: AIC extraction
aihrio: Sample dataset
backfitting: Backfitting algorithm
bksmooth: Smoothing of nonparametric terms
coef.pgam: Coefficients extraction
deviance.pgam: Deviance extraction
elapsedtime: Utility function
envelope: Generic function for simulated envelope generation.
envelope.pgam: Normal plot with simulated envelope of the residuals.
f: Utility function
fitted.pgam: Fitted values extraction
fnz: Utility function
formparser: Read the model formula and split it into the parametric and...
framebuilder: Utility function
g: Utility function
intensity: Utility function
link: Utility function
logLik.pgam: Loglik extraction
lpnorm: Utility function
periodogram: Raw Periodogram
pgam: Poisson-Gamma Additive Models
pgam.filter: Estimation of the conditional distributions parameters of the...
pgam.fit: One-step ahead prediction and variance
pgam.hes2se: Utility function
pgam.likelihood: Likelihood function to be maximized
pgam.par2psi: Utility function
pgam.psi2par: Utility function
plot.pgam: Plot of estimated curves
predict.pgam: Prediction
print.pgam: Model output
print.summary.pgam: Summary output
residuals.pgam: Residuals extraction
summary.pgam: Summary output
tbl2tex: LaTeX table exporter

Functions

AIC.pgam Man page Source code
aihrio Man page
backfitting Man page Source code
bkfsmooth Man page Source code
coef.pgam Man page Source code
deviance.pgam Man page Source code
elapsedtime Man page Source code
envelope Man page Source code
envelope.pgam Man page Source code
f Man page Source code
fitted.pgam Man page Source code
fnz Man page Source code
formparser Man page Source code
framebuilder Man page Source code
g Man page Source code
intensity Man page Source code
link Man page Source code
logLik.pgam Man page Source code
lpnorm Man page Source code
onLoad Source code
onUnload Source code
periodogram Man page Source code
pgam Man page Source code
pgam.filter Man page Source code
pgam.fit Man page Source code
pgam.hes2se Man page Source code
pgam.likelihood Man page Source code
pgam.par2psi Man page Source code
pgam.psi2par Man page Source code
plot.pgam Man page Source code
predict.pgam Man page Source code
print.pgam Man page Source code
print.summary.pgam Man page Source code
residuals.pgam Man page Source code
summary.pgam Man page Source code
tbl2tex Man page Source code

Files

MD5
DESCRIPTION
man
man/summary.pgam.Rd
man/link.Rd
man/pgam.fit.Rd
man/formparser.Rd
man/pgam.hes2se.Rd
man/pgam.par2psi.Rd
man/logLik.pgam.Rd
man/print.summary.pgam.Rd
man/AIC.pgam.Rd
man/pgam.likelihood.Rd
man/lpnorm.Rd
man/intensity.Rd
man/f.Rd
man/envelope.pgam.Rd
man/aihrio.Rd
man/envelope.Rd
man/pgam.psi2par.Rd
man/plot.pgam.Rd
man/print.pgam.Rd
man/predict.pgam.Rd
man/bksmooth.Rd
man/pgam.filter.Rd
man/coef.pgam.Rd
man/deviance.pgam.Rd
man/periodogram.Rd
man/fitted.pgam.Rd
man/fnz.Rd
man/residuals.pgam.Rd
man/backfitting.Rd
man/elapsedtime.Rd
man/framebuilder.Rd
man/tbl2tex.Rd
man/g.Rd
man/pgam.Rd
src
src/pgam.h
src/pgam.c
NAMESPACE
data
data/aihrio.rda
INDEX
R
R/zzz.r
R/pgam.r
gnugpl2.txt
pgam documentation built on May 20, 2017, 12:55 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.