BASS
Bayesian Adaptive Spline Surfaces
Bayesian fitting and sensitivity analysis methods for adaptive
spline surfaces described in
BASS
BASS is an R package for fitting Bayesian Adaptive Spline Surface models available on CRAN with a development version available on GitHub. BASS models most closely resemble Bayesian multivariate adaptive regression splines (Bayesian MARS).
To install the development version, use
# install.packages("devtools")
devtools::install_github("lanl/BASS")
Examples of uses are in Francom et al. (2018) and Francom et al. (2019) and explicit code examples are given in the R package vignette.
References
Francom, Devin, Bruno Sansó, Vera Bulaevskaya, Donald Lucas, and Matthew Simpson. 2019. “Inferring Atmospheric Release Characteristics in a Large Computer Experiment Using Bayesian Adaptive Splines.” Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2018.1562933.
Francom, Devin, Bruno Sansó, Ana Kupresanin, and Gardar Johannesson. 2018. “Sensitivity analysis and emulation for functional data using Bayesian adaptive splines.” Statistica Sinica. https://doi.org/10.5705/ss.202016.0130.