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dynaTree (version 1.2-17)

Dynamic Trees for Learning and Design

Description

Inference by sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential design and optimization, fully online learning with drift, variable selection, and sensitivity analysis of inputs. Illustrative examples from the original dynamic trees paper (Gramacy, Taddy & Polson (2011); ) are facilitated by demos in the package; see demo(package="dynaTree").

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Version

Install

install.packages('dynaTree')

Monthly Downloads

428

Version

1.2-17

License

LGPL

Maintainer

Robert Gramacy

Last Published

August 22nd, 2024

Functions in dynaTree (1.2-17)

relevance.dynaTree

Calculate relevance statistics for input coordinates
retire.dynaTree

Retire (i.e. remove) data from the a dynaTree model
rejuvenate.dynaTree

Rejuvenate particles from the dynaTree posterior
sens.dynaTree

Monte Carlo Sensitivity Analysis for dynaTree Models
update.dynaTree

Updating a Dynamic Tree Model With New Data
varpropuse

Calculate the proportion of variables used in tree splits, and average summary stats of tree heights and leaf sizes
predict.dynaTree

Prediction for Dynamic Tree Models
plot.dynaTree

Plotting Predictive Distributions of Dynamic Tree models
elec2

The ELEC2 Data Set
getBF

Extract a Path of (log) Bayes Factors
dynaTree-package

Dynamic trees for learning and design
dynaTree-internal

Internal dynaTree Functions
dynaTrees

Fitting Dynamic Tree Models
dynaTree-class

Class "dynaTree"
alcX.dynaTree

Calculate the ALC or predictive entropy statistic at the X locations, or ALC at new XX predictive locations
deletecloud

Copy and Delete C-side Clouds in dynaTree Objects