Package: distcrete 1.0.3

Steph Locke

distcrete: Discrete Distribution Approximations

Creates discretised versions of continuous distribution functions by mapping continuous values to an underlying discrete grid, based on a (uniform) frequency of discretisation, a valid discretisation point, and an integration range. For a review of discretisation methods, see Chakraborty (2015) <doi:10.1186/s40488-015-0028-6>.

Authors:Steph Locke [cre], Rich FitzJohn [aut], Anne Cori [aut], Thibaut Jombart [aut]

distcrete_1.0.3.tar.gz
distcrete_1.0.3.zip(r-4.7)distcrete_1.0.3.zip(r-4.6)distcrete_1.0.3.zip(r-4.5)
distcrete_1.0.3.tgz(r-4.6-any)distcrete_1.0.3.tgz(r-4.5-any)
distcrete_1.0.3.tar.gz(r-4.7-any)distcrete_1.0.3.tar.gz(r-4.6-any)
distcrete_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
distcrete/json (API)

# Install 'distcrete' in R:

install.packages('distcrete', repos = c('https://reconhub.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/reconhub/distcrete/issues

On CRAN:

7.88 score 5 stars 8 packages 193 scripts 2.2k downloads 1 mentions 1 exports 0 dependencies

Last updated from:a35ea1c3e3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	116
source / vignettes	OK	174
linux-release-x86_64	OK	109
macos-release-arm64	OK	70
macos-oldrel-arm64	OK	70
windows-devel	OK	73
windows-release	OK	103
windows-oldrel	OK	63
wasm-release	OK	96