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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.

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Version

Install

install.packages('BASS')

Monthly Downloads

450

Version

1.3.1

License

GPL-3

Maintainer

Devin Francom

Last Published

July 4th, 2023

Functions in BASS (1.3.1)

bass

Bayesian Adaptive Spline Surfaces (BASS)
plot.bassSob

Plot BASS sensitivity indices
bassPCA

Bayesian Adaptive Spline Surfaces (BASS) with PCA decomposition of response
predict.bass

BASS Prediction
plot.bass

BASS Plot Diagnostics
bassBasis

Bayesian Adaptive Spline Surfaces (BASS) with basis decomposition of response
calibrate.bassBasis

Calibrate a bassPCA or bassBasis Model to Data
summary.bassBasis

Summarize BASS Details
plot.bassBasis

BASS Plot Diagnostics
predict.bassBasis

BASS Prediction
print.bassBasis

Print BASS Details
print.bass

Print BASS Details
sobol

BASS Sensitivity Analysis
sobolBasis

BASS Sensitivity Analysis
summary.bass

Summarize BASS Details