https://github.com/cran/tgp
Tip revision: ca2e033a99ff4daad5d3ed07e1482c43c20d1a66 authored by Robert B. Gramacy on 25 November 2008, 00:00:00 UTC
version 2.1-6
version 2.1-6
Tip revision: ca2e033
DESCRIPTION
Package: tgp
Title: Bayesian treed Gaussian process models
Version: 2.1-6
Date: 2008-11-25
Author: Robert B. Gramacy <rbgramacy@ams.ucsc.edu> and Matt A. Taddy <taddy@ams.ucsc.edu>
Depends: R (>= 2.4)
Suggests: akima, maptree, combinat
Description: Bayesian nonstationary, semiparametric nonlinear regression
and design by treed Gaussian processes with jumps to the limiting
linear model (LLM). Special cases also implemented include Bayesian
linear models, CART, treed linear models, stationary separable and
isotropic Gaussian processes. Provides 1-d and 2-d plotting functions
(with projection and slice capabilities) and tree drawing, designed for
visualization of tgp-class output. Sensitivity analysis and
multi-resolution models are supported, and a limited set of experimental
design and adaptive sampling functions are also provided, including ALM,
ALC, and expected improvement.
Maintainer: Robert B. Gramacy <rbgramacy@ams.ucsc.edu>
License: LGPL
URL: http://www.ams.ucsc.edu/~rbgramacy/tgp.html