Bayesian Adaptive Spline Surfaces

Bayesian fitting and sensitivity analysis methods for adaptive spline surfaces. 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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0.2.2 by Devin Francom, 2 years ago

Browse source code at

Authors: Devin Francom [aut, cre] , Bruno Sanso [ths] , Agner Fog [ctb, cph]

Documentation:   PDF Manual  

GPL-3 license

Suggests knitr

See at CRAN