BayesSIM
Integrated Interface of Bayesian Single Index Models using 'nimble'
Provides tools for fitting Bayesian single index models with
flexible choices of priors for both the index and the link function.
The package implements model estimation and posterior inference using
efficient MCMC algorithms built on the 'nimble' framework, allowing
users to specify, extend, and simulate models in a unified and
reproducible manner. The following methods are implemented in the
package: Antoniadis et al. (2004)
< https://www.jstor.org/stable/24307224>, Wang (2009)
BayesSIM
This package is for fitting Bayesian single-index model based on
nimble R package.
BayesSIM is an R package designed to facilitate Bayesian inference for
single-index models. It provides a user-friendly interface for model
fitting, visualization, convergence diagnostics, and prediction. The
package is intended to be accessible to users with little experience in
nimble, while also offering sufficient flexibility for advanced users
who wish to customize the model specification and inference procedure.
Installation
You can install released version of BayesSIM from CRAN:
install.packages("BayesSIM")
Alternatively, you can install the development version from CRAN like so:
# install.packages("devtools")
devtools::install_github("Seowoo-Jung/BayesSIM")