Description
Nonlinear Regression using Horseshoe Prior.
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 <doi:10.1111/rssc.12377> Maity et. al. (2019) <doi:10.1111/biom.13132> Maity et. al. (2020).
README.md
horseshoenlm
The goal of horseshoenlm is to ...
Installation
You can install the released version of horseshoenlm from CRAN with:
install.packages("horseshoenlm")
Example
This is a basic example which shows you how to solve a common problem:
library(horseshoenlm)
## basic example code