Package: BASS 1.3.1

Devin Francom

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>.

Authors:Devin Francom [aut, cre], Bruno Sanso [ths], Kellin Rumsey [aut]

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BASS.pdf |BASS.html✨
BASS/json (API)
NEWS

# Install 'BASS' in R:
install.packages('BASS', repos = c('https://dfrancom.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.77 score 1 stars 169 scripts 346 downloads 7 mentions 6 exports 7 dependencies

Last updated 1 years agofrom:f6f2540d74. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:bassbassBasisbassPCAcalibrate.bassBasissobolsobolBasis

Dependencies:contfracdeSolveellipticevdhypergeoMASStruncdist

BASS_vignette

Rendered fromjss_paper.pdf.asisusingR.rsp::asison Oct 26 2024.

Last update: 2023-07-04
Started: 2023-07-04