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
minb
Multiple-Inflated Negative Binomial Model
View on CRAN: Click
here
Download and install minb package within the R console
Install from CRAN:
install.packages("minb")
Install from Github:
library("remotes")
install_github("cran/minb") Install by package version:
library("remotes")
install_version("minb", "0.1.0") Attach the package and use:
library("minb")
Maintained by
Mingcong Wu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-01
Latest Update: 2023-10-01
Description:
Count data is prevalent and informative, with widespread
application in many fields such as social psychology, personality, and
public health. Classical statistical methods for the analysis of count
outcomes are commonly variants of the log-linear model, including
Poisson regression and Negative Binomial regression. However, a
typical problem with count data modeling is inflation, in the sense
that the counts are evidently accumulated on some integers. Such an
inflation problem could distort the distribution of the observed
counts, further bias estimation and increase error, making the classic
methods infeasible. Traditional inflated value selection methods based
on histogram inspection are easy to neglect true points and
computationally expensive in addition. Therefore, we propose a
multiple-inflated negative binomial model to handle count data
modeling with multiple inflated values, achieving data-driven inflated
value selection. The proposed approach provides simultaneous
identification of important regression predictors on the target count
response as well. More details about the proposed method are described in
Li, Y., Wu, M., Wu, M., & Ma, S. (2023) .
How to cite:
Mingcong Wu (2023). minb: Multiple-Inflated Negative Binomial Model. R package version 0.1.0, https://cran.r-project.org/web/packages/minb. Accessed 20 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited minb R package
View minb citation profile
Other R packages that minb depends,
imports, suggests or enhances
Complete documentation for minb
Functions, R codes and Examples using
the minb R package
Some associated functions: minb . minb_SimuData .
Some associated R codes: minb.R . Full minb package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
nextGenShinyApps
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
EvalEst
Dynamic Systems Estimation - Extensions
Provides functions for evaluating (time series) model
estimation methods. These facilitate Monte Ca ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Paul Gilbert (view profile)
ISR
The Iterated Score Regression-Based Estimation
Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high c ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Guangbao Guo (view profile)
conStruct
Models Spatially Continuous and Discrete Population Genetic Structure
A method for modeling genetic data as a combination of discrete
layers, within each of which relate ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gideon Bradburd (view profile)
MOTE
Effect Size and Confidence Interval Calculator
Measure of the Effect ('MOTE') is an effect size calculator, including a
wide variety of effect siz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Erin M. Buchanan (view profile)
bgeva
Binary Generalized Extreme Value Additive Models
Routine for fitting regression models for binary rare events with linear and nonlinear covariate eff ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giampiero Marra (view profile)
29,080
R Packages
247,686
Dependencies
76,898
Author Associations
29,081
Publication Badges
