BASS: Bayesian Adaptive Spline Surfaces

Bayesian fitting and sensitivity analysis methods for adaptive spline surfaces described in <doi:10.18637/jss.v094.i08>. Built to handle continuous and categorical inputs as well as functional or scalar output. An extension of the methodology in Denison, Mallick and Smith (1998) <doi:10.1023/A:1008824606259>.

Version: 1.2.2
Imports: truncdist, hypergeo
Suggests: knitr, testthat (≥ 2.1.0), parallel, MASS, formatR
Published: 2020-09-07
Author: Devin Francom [aut, cre], Bruno Sanso [ths]
Maintainer: Devin Francom <devinfrancom at>
License: GPL-3
NeedsCompilation: no
Citation: BASS citation info
Materials: README NEWS
CRAN checks: BASS results


Reference manual: BASS.pdf
Vignettes: BASS_vignette


Package source: BASS_1.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BASS_1.2.2.tgz, r-release (x86_64): BASS_1.2.2.tgz, r-oldrel: BASS_1.2.2.tgz
Old sources: BASS archive

Reverse dependencies:

Reverse imports: bayesmodels


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