Package: PTT 1.0.1

Li Ma

PTT: Pólya Tree Type Models

Fits Bayesian nonparametric models based on Pólya tree processes, including adaptive Pólya trees, Markov adaptive Pólya trees, optional Pólya trees, and their conditional-density counterparts. Methods are described in Ma (2017) <doi:10.1214/16-BA1021>, Ma (2017) <doi:10.1214/17-EJS1254>, and Wong and Ma (2010) <doi:10.1214/09-AOS755>.

Authors:Li Ma [aut, cre]

PTT_1.0.1.tar.gz
PTT_1.0.1.zip(r-4.7-x86_64)PTT_1.0.1.zip(r-4.7-arm64)PTT_1.0.1.zip(r-4.6-x86_64)PTT_1.0.1.zip(r-4.6-arm64)PTT_1.0.1.zip(r-4.5-x86_64)
PTT_1.0.1.tgz(r-4.6-x86_64)PTT_1.0.1.tgz(r-4.6-arm64)PTT_1.0.1.tgz(r-4.5-x86_64)PTT_1.0.1.tgz(r-4.5-arm64)
PTT_1.0.1.tar.gz(r-4.7-arm64)PTT_1.0.1.tar.gz(r-4.7-x86_64)PTT_1.0.1.tar.gz(r-4.6-arm64)PTT_1.0.1.tar.gz(r-4.6-x86_64)
PTT_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PTT/json (API)

# Install 'PTT' in R:
install.packages('PTT', repos = c('https://mastatlab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mastatlab/ptt/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.23 score 1 stars 17 scripts 204 downloads 8 exports 2 dependencies

Last updated from:a7cd602bb2. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK96
linux-devel-x86_64OK118
source / vignettesOK201
linux-release-arm64OK91
linux-release-x86_64OK105
macos-release-arm64OK121
macos-release-x86_64OK240
macos-oldrel-arm64OK122
macos-oldrel-x86_64OK209
windows-devel-arm64OK330
windows-devel-x86_64OK161
windows-release-arm64OK354
windows-release-x86_64OK118
windows-oldrel-x86_64OK111
wasm-releaseOK88

Exports:aptcond.aptcond.optoptplot_partitionplot_roc_curveplot.partplot.roc

Dependencies:RcppRcppArmadillo