README.md
In JrEduardo/CountReg: Regression Models for Dispersed Count Data
Gamma-count Regression Models for Dispersed Count Data
Eduardo E. R. Junior1
(edujrrib@gmail.com) &
Walmes M. Zeviani1
(walmes@ufpr.br)
1Paraná Federal University, Laboratory of Statistics and
Geoinformation (LEG/UFPR)
Description
The gammacount is a package with functions to apply regression models
to count data using the Gamma-Count distribution. A likelihood-based
approach is used for parameter estimation and inference through a S4
implementation derived from [bbmle] package. The Gamma-count
regression model is considered in this package and methods for this
model are also provided. See the supplementary material of
Zeviani et. al (2014) for and old state version of the functions.
Download and Install
The gammacount is developed under control version using Git and is
hosted in GitHub. You can install automatically from the GitHub
repository using
devtools. Just
run the code below in a R session.
# install.packages("devtools")
devtools::install_git("git@github.com:JrEduardo/gammacount.git")
devtools::install_github("JrEduardo/gammacount") ## For short.
After installing the package, you can load and explore its contents
running the R code below.
# Load and explore the package.
library(gammacount)
packageVersion(gammacount)
ls("package:gammacount")
help(package = "gammacount")
License
The gammacount package is licensed under the
GNU General Public License, version 3, see the LICENSE
file.
JrEduardo/CountReg documentation built on May 7, 2019, 12:04 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Gamma-count Regression Models for Dispersed Count Data
Eduardo E. R. Junior1
(edujrrib@gmail.com) &
Walmes M. Zeviani1
(walmes@ufpr.br)
1Paraná Federal University, Laboratory of Statistics and Geoinformation (LEG/UFPR)
Description
The gammacount is a package with functions to apply regression models
to count data using the Gamma-Count distribution. A likelihood-based
approach is used for parameter estimation and inference through a S4
implementation derived from [bbmle] package. The Gamma-count
regression model is considered in this package and methods for this
model are also provided. See the supplementary material of
Zeviani et. al (2014) for and old state version of the functions.
Download and Install
The gammacount is developed under control version using Git and is
hosted in GitHub. You can install automatically from the GitHub
repository using
devtools. Just
run the code below in a R session.
# install.packages("devtools")
devtools::install_git("git@github.com:JrEduardo/gammacount.git")
devtools::install_github("JrEduardo/gammacount") ## For short.
After installing the package, you can load and explore its contents running the R code below.
# Load and explore the package.
library(gammacount)
packageVersion(gammacount)
ls("package:gammacount")
help(package = "gammacount")
License
The gammacount package is licensed under the
GNU General Public License, version 3, see the LICENSE
file.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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