MAITYA02/horseshoenlm: Nonlinear Regression using Horseshoe Prior

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).

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.0.6
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MAITYA02/horseshoenlm")
MAITYA02/horseshoenlm documentation built on Dec. 31, 2020, 2:17 p.m.