Integrated Interface of Bayesian Single Index Models using 'nimble'
Construct a Fitted Model Object from Model Setup and MCMC Output
BayesSIM: Integrated Interface of Bayesian Single Index Models using '...
Integrated Function for Bayesian Single-Index Regression
Bayesian Single-Index Regression with B-Spline Link and von Mises-Fish...
Bayesian Single-Index Regression with B-Spline Link and One-to-One Pol...
Bayesian Single-Index Regression with B-Spline Link and Half-Unit Sphe...
Bayesian Single-Index Regression with B-Spline Link and Spike-and-Slab...
Extract Index Vector Coefficients from BayesSIM
Compile a 'nimble' Model and Its MCMC
Extract Fitted Values from BayesSIM
Extract Residuals from BayesSIM
Get nimbleModel and nimbleSampler Object from the Result of `compileMo...
Get Initial Value of the Model
Get Definition of the Model
Retrieve Monitorable Variables
Goodness of Fit for BayesSIM
Bayesian Single-Index Regression with Gaussian Process Link and von Mi...
Bayesian Single-Index Regression with Gaussian Process Link and One-to...
Bayesian Single-Index Regression with Gaussian Process Link and Unit S...
Bayesian Single-Index Regression with Gaussian Process Link and Spike-...
Build an Initial Value List for BayesSIM Models
Traceplot for BayesSIM
Plot Method for BayesSIM
Prediction Method for BayesSIM
Build a Prior List for BayesSIM Models
Summarize BayesSIM
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) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.