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 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 0.1 (2017-07-02 02:04)
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

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
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  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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