Bayesian Adaptive Spline Surfaces

Bayesian fitting and sensitivity analysis methods for adaptive spline surfaces described in . 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) .


BASS 0.2.2

  • added print and summary methods for bass objects

BASS 0.2.1

  • added "small" parameter to allow for smaller memory footprint
  • removed uses of timestamp to avoid a bug in Rstudio on Windows
  • corrected example to use temperatures rather than inverse temperatures, and to match vignette

BASS 0.2.0

  • vignette added
  • argument changes
    • temp.ladder now refers to temperatures rather than inverse temperatures
  • Bug fixes:
    • Sobol index rounding for functional case
    • Handling responses in a dataframe
    • Error handling for w1 or w1 equal to 0
  • Documentation updates
    • Changed input names a.beta.prec and b.beta.prec from the g-prior to a.tau and b.tau

BASS 0.1.0

  • First release.

Reference manual

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1.2.2 by Devin Francom, a year ago

Browse source code at

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

Documentation:   PDF Manual  

GPL-3 license

Imports truncdist, hypergeo

Suggests knitr, testthat, parallel, MASS, formatR

Imported by bayesmodels.

See at CRAN