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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 08 Mar. 2026.
Previous versions and publish date:
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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
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