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GWRM  

Generalized Waring Regression Model for Count Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GWRM", "2.1.0.4")



Attach the package and use:
library("GWRM")
Maintained by
Silverio Vilchez-Lopez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-02-03
Latest Update: 2021-07-26
Description:
Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).
How to cite:
Silverio Vilchez-Lopez (2010). GWRM: Generalized Waring Regression Model for Count Data. R package version 2.1.0.4, https://cran.r-project.org/web/packages/GWRM. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.1 (2010-02-03 16:43), 2.0 (2015-04-21 09:03), 2.1.0.1 (2016-02-08 23:52), 2.1.0.2 (2016-04-13 17:59), 2.1.0.3 (2017-07-31 12:04)
Other packages that cited GWRM R package
View GWRM citation profile
Other R packages that GWRM depends, imports, suggests or enhances
Complete documentation for GWRM
Functions, R codes and Examples using the GWRM R package
Some associated functions: GWRM . add1.gw . drop1.gw . goals . gw . partvar . predict.gw . residuals.gw . rgw . 
Some associated R codes: GWRM.R . LogLik.R . add.R . data.R . getResponse.R . partvar.R . residuals.R .  Full GWRM package functions and examples
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