Other packages > Find by keyword >

hurdlr  

Zero-Inflated and Hurdle Modelling Using Bayesian Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hurdlr", "0.1")



Attach the package and use:
library("hurdlr")
Maintained by
Earvin Balderama
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-02
Latest Update: 2017-07-02
Description:
When considering count data, it is often the case that many more zero counts than would be expected of some given distribution are observed. It is well established that data such as this can be reliably modelled using zero-inflated or hurdle distributions, both of which may be applied using the functions in this package. Bayesian analysis methods are used to best model problematic count data that cannot be fit to any typical distribution. The package functions are flexible and versatile, and can be applied to varying count distributions, parameter estimation with or without explanatory variable information, and are able to allow for multiple hurdles as it is also not uncommon that count data have an abundance of large-number observations which would be considered outliers of the typical distribution. In lieu of throwing out data or misspecifying the typical distribution, these extreme observations can be applied to a second, extreme distribution. With the given functions of this package, such a two-hurdle model may be easily specified in order to best manage data that is both zero-inflated and over-dispersed.
How to cite:
Earvin Balderama (2017). hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference. R package version 0.1, https://cran.r-project.org/web/packages/hurdlr. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited hurdlr R package
View hurdlr citation profile
Other R packages that hurdlr depends, imports, suggests or enhances
Complete documentation for hurdlr
Functions, R codes and Examples using the hurdlr R package
Some associated functions: GenPareto . PE . PT . PZ . dist_ll . hurdle . hurdle_control . loglik_zinb . loglik_zip . mlnorm . update_beta . update_pars . update_probs . zero_nb . zero_poisson . 
Some associated R codes: GenPareto.R . PE.R . PT.R . PZ.R . dist_ll.R . hurdle.R . hurdle_control.R . loglik_zinb.R . loglik_zip.R . mlnorm.R . update_beta.R . update_pars.R . update_probs.R . zero_nb.R . zero_poisson.R .  Full hurdlr package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
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  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA