Package: RGeode 0.1.0

RGeode: Geometric Density Estimation

Provides the hybrid Bayesian method Geometric Density Estimation. On the one hand, it scales the dimension of our data, on the other it performs inference. The method is fully described in the paper "Scalable Geometric Density Estimation" by Y. Wang, A. Canale, D. Dunson (2016) <http://proceedings.mlr.press/v51/wang16e.pdf>.

Authors:Lorenzo Rimella

RGeode_0.1.0.tar.gz
RGeode_0.1.0.zip(r-4.7)RGeode_0.1.0.zip(r-4.6)RGeode_0.1.0.zip(r-4.5)
RGeode_0.1.0.tgz(r-4.6-x86_64)RGeode_0.1.0.tgz(r-4.6-arm64)RGeode_0.1.0.tgz(r-4.5-x86_64)RGeode_0.1.0.tgz(r-4.5-arm64)
RGeode_0.1.0.tar.gz(r-4.7-arm64)RGeode_0.1.0.tar.gz(r-4.7-x86_64)RGeode_0.1.0.tar.gz(r-4.6-arm64)RGeode_0.1.0.tar.gz(r-4.6-x86_64)
RGeode_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RGeode/json (API)

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

Bug tracker:https://github.com/lorenzorimella/rgeode/issues

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

On CRAN:

Conda:

cpp

2.81 score 13 scripts 202 downloads 5 exports 2 dependencies

Last updated from:7158c767cd. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK131
linux-devel-x86_64OK109
source / vignettesOK151
linux-release-arm64OK109
linux-release-x86_64OK107
macos-release-arm64OK125
macos-release-x86_64OK233
macos-oldrel-arm64OK144
macos-oldrel-x86_64OK302
windows-develOK108
windows-releaseOK109
windows-oldrelOK97
wasm-releaseOK94

Exports:prandSVDrexptrrgammatrrgeode

Dependencies:MASSRcpp