Package: RaProR 1.1.5.9001

Leo N. Geppert

RaProR: Calculate Sketches using Random Projections to Reduce Large Data Sets

Calculate sketches of a data set reducing the number of observations using random projections. These can be used for Bayesian or frequentist linear regression on large data sets as described in Geppert et. al (2017) <doi:10.1007/s11222-015-9608-z>. Compatibility updates by Renova.

Authors:Leo N. Geppert [aut, cre, cph], Katja Ickstadt [aut], Alexander Munteanu [aut], Jens Quedenfeld [aut, cph], Ludger Sandig [aut, cph], Christian Sohler [aut]

RaProR_1.1.5.9001.tar.gz
RaProR_1.1.5.9001.zip(r-4.7-x86_64)RaProR_1.1.5.9001.zip(r-4.7-arm64)RaProR_1.1.5.9001.zip(r-4.6-x86_64)RaProR_1.1.5.9001.zip(r-4.6-arm64)RaProR_1.1.5.9001.zip(r-4.5-x86_64)
RaProR_1.1.5.9001.tgz(r-4.6-x86_64)RaProR_1.1.5.9001.tgz(r-4.6-arm64)RaProR_1.1.5.9001.tgz(r-4.5-x86_64)RaProR_1.1.5.9001.tgz(r-4.5-arm64)
RaProR_1.1.5.9001.tar.gz(r-4.7-arm64)RaProR_1.1.5.9001.tar.gz(r-4.7-x86_64)RaProR_1.1.5.9001.tar.gz(r-4.6-arm64)RaProR_1.1.5.9001.tar.gz(r-4.6-x86_64)
RaProR_1.1.5.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RaProR/json (API)

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

Bug tracker:https://github.com/renova-r/rapror/issues

On CRAN:

Conda:

1.70 score 37 downloads 2 exports 0 dependencies

Last updated from:2e576d2d62 (on renova-1.1.5.9001). Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK74
linux-devel-x86_64OK90
source / vignettesOK190
linux-release-arm64OK68
linux-release-x86_64OK129
macos-release-arm64OK93
macos-release-x86_64OK268
macos-oldrel-arm64OK114
macos-oldrel-x86_64OK222
windows-devel-arm64OK157
windows-devel-x86_64OK133
windows-release-arm64OK170
windows-release-x86_64OK141
windows-oldrel-x86_64OK155
wasm-releaseOK72

Exports:readinandsketchsketch

Dependencies: