CRAN
tgp 2.4-14
Bayesian Treed Gaussian Process Models
Released Feb 7, 2016 by Robert B. Gramacy
Dependencies
Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes (GPs) with jumps to the limiting linear model (LLM). Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable and isotropic GPs, and GP single-index models. 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. Sequential experimental design and adaptive sampling functions are also provided, including ALM, ALC, and expected improvement. The latter supports derivative-free optimization of noisy black-box functions.
Installation
Maven
This package can be included as a dependency from a Java or Scala project by including
the following your project's pom.xml
file.
Read more
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>tgp</artifactId> <version>2.4-14-b51</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:tgp')
Test Results
This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.
Source
Release History
- 2.4-14
- 2.4-11
- 2.4-9
- 2.4-8
- 2.4-7
- 2.4-5
- 2.4-3
- 2.4-2
- 2.4-1
- 2.4
- 2.3-4
- 2.3-3
- 2.3-2
- 2.3-1
- 2.3
- 2.2-4
- 2.2-3
- 2.2-2
- 2.2-1
- 2.2
- 2.1-6
- 2.1-5
- 2.1-4
- 2.1-3
- 2.1-2
- 2.1-1
- 2.1
- 2.0-4
- 2.0-3
- 2.0-2
- 2.0-1
- 2.0
- 1.2-6
- 1.2-5
- 1.2-4
- 1.2-3
- 1.2-2
- 1.2-1
- 1.2
- 1.1-11
- 1.1-10
- 1.1-9
- 1.1-8
- 1.1-7
- 1.1-6
- 1.1-5
- 1.1-4
- 1.1-3
- 1.1-2
- 1.1-1
- 1.1
- 1.0-2
- 1.0-1
- 1.0