Learn R Programming

⚠️There's a newer version (1.3.1) of this package.Take me there.

BASS

BASS is an R package for fitting Bayesian Adaptive Spline Surface models available on CRAN with a development version available on GitHub.

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.

Copy Link

Version

Install

install.packages('BASS')

Monthly Downloads

409

Version

1.2.0

License

GPL-3

Maintainer

Devin Francom

Last Published

May 6th, 2020

Functions in BASS (1.2.0)

plot.bass

BASS Plot Diagnostics
summary.bassBasis

Summarize BASS Details
summary.bass

Summarize BASS Details
sobol

BASS Sensitivity Analysis
sobolBasis

BASS Sensitivity Analysis
print.bassBasis

Print BASS Details
plot.bassSob

Plot BASS sensitivity indices
predict.bassBasis

BASS Prediction
bass

Bayesian Adaptive Spline Surfaces (BASS)
plot.bassBasis

BASS Plot Diagnostics
predict.bass

BASS Prediction
print.bass

Print BASS Details
bassPCA

Bayesian Adaptive Spline Surfaces (BASS) with PCA decomposition of response
bassBasis

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