Other packages > Find by keyword >

horseshoenlm  

Nonlinear Regression using Horseshoe Prior
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("horseshoenlm", "0.0.6")



Attach the package and use:
library("horseshoenlm")
Maintained by
Arnab Kumar Maity
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-18
Latest Update: 2020-12-18
Description:
Provides the posterior estimates of the regression coefficients when horseshoe prior is specified. The regression models considered here are logistic model for binary response and log normal accelerated failure time model for right censored survival response. The linear model analysis is also available for completeness. All models provide deviance information criterion and widely applicable information criterion. See Maity et. al. (2019) Maity et. al. (2020).
How to cite:
Arnab Kumar Maity (2020). horseshoenlm: Nonlinear Regression using Horseshoe Prior. R package version 0.0.6, https://cran.r-project.org/web/packages/horseshoenlm. Accessed 06 Jan. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited horseshoenlm R package
View horseshoenlm citation profile
Other R packages that horseshoenlm depends, imports, suggests or enhances
Complete documentation for horseshoenlm
Functions, R codes and Examples using the horseshoenlm R package
Some associated functions: afths . lmhs . logiths . probiths . 
Some associated R codes: afths.R . lmhs.R . logiths.R . probiths.R .  Full horseshoenlm 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

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  
ROI.plugin.deoptim  
'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface
Enhances the R Optimization Infrastructure ('ROI') package with the 'DEoptim' and 'DEoptimR' packag ...
Download / Learn more Package Citations See dependency  
mlr3fairness  
Fairness Auditing and Debiasing for 'mlr3'
Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem. This includes ...
Download / Learn more Package Citations See dependency  
lmds  
Landmark Multi-Dimensional Scaling
A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dime ...
Download / Learn more Package Citations See dependency  
RsqMed  
Total Mediation Effect Size Measure for High-Dimensional Mediators
An implementation of calculating the R-squared measure as a total mediation effect size measure and ...
Download / Learn more Package Citations See dependency  
TBFmultinomial  
TBF Methodology Extension for Multinomial Outcomes
Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete ...
Download / Learn more Package Citations See dependency  

23,440

R Packages

202,297

Dependencies

63,567

Author Associations

23,434

Publication Badges

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