R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
overdisp
View on CRAN: Click
here
Download and install overdisp package within the R console
Install from CRAN:
install.packages("overdisp")
Install from Github:
library("remotes")
install_github("cran/overdisp")
Install by package version:
library("remotes")
install_version("overdisp", "0.1.2")
Attach the package and use:
library("overdisp")
Maintained by
Rafael Freitas Souza
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.overdisp . overdisp results . overdisp.pdf . overdisp_0.1.2.tar.gz . overdisp_0.1.2.zip . overdisp_0.1.2.zip . overdisp_0.1.2.zip . overdisp_0.1.2.tgz . overdisp_0.1.2.tgz . overdisp_0.1.2.tgz . overdisp_0.1.2.tgz . overdisp archive . https://CRAN.R-project.org/package=overdisp .
First Published: 2020-02-16
Latest Update: 2023-07-04
Description:
Detection of overdispersion in count data for multiple regression analysis.
Log-linear count data regression is one of the most popular techniques for predictive
modeling where there is a non-negative discrete quantitative dependent variable. In
order to ensure the inferences from the use of count data models are appropriate,
researchers may choose between the estimation of a Poisson model and a negative binomial
model, and the correct decision for prediction from a count data estimation is directly
linked to the existence of overdispersion of the dependent variable, conditional to the
explanatory variables. Based on the studies of Cameron and Trivedi (1990)
and Cameron and Trivedi (2013, ISBN:978-1107667273),
the overdisp() command is a contribution to researchers, providing a fast and secure
solution for the detection of overdispersion in count data. Another advantage is that
the installation of other packages is unnecessary, since the command runs in the basic
R language.
How to cite:
Rafael Freitas Souza (2020). overdisp: Overdispersion in Count Data Multiple Regression Analysis. R package version 0.1.2, https://cran.r-project.org/web/packages/overdisp. Accessed 03 Jun. 2025.
Other packages that cited overdisp R package
View overdisp citation profile
Other R packages that overdisp depends,
imports, suggests or enhances
Complete documentation for overdisp
Functions, R codes and Examples using
the overdisp R package
Some associated functions: README .
Some associated R codes: overdisp.R . Full overdisp package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
bild
Performs logistic regression for binary longitudinal
data, allowing for serial dependence among obs ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: M. Helena Goncalves (view profile)
XML2R
XML2R is a framework that reduces the effort required to transformXML content into number of ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Carson Sievert (view profile)
treecm
The centre of mass is a crucial data for arborists in order to
consolidate a tree using steel or dy ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marco Bascietto (view profile)
FSDAM
FS-DAM performs feature extraction through latent variables identification. Implementation is based ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Youyi Fong (view profile)
dynr
Intensive longitudinal data have become increasingly prevalent in
various scientific disciplines. M ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael D. Hunter (view profile)
24,352
R Packages
207,311
Dependencies
65,804
Author Associations
24,331
Publication Badges
