Package: fangs 0.2.24

fangs: Feature Allocation Neighborhood Greedy Search Algorithm

A neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution. The method is described in Dahl, Johnson, and Andros (2023) "Comparison and Bayesian Estimation of Feature Allocations" <doi:10.1080/10618600.2023.2204136>.

Authors:David B. Dahl [aut, cre], R. Jacob Andros [aut], Devin J. Johnson [aut], Authors of the dependency Rust crates [ctb]

fangs_0.2.24.tar.gz
fangs_0.2.24.zip(r-4.7)fangs_0.2.24.zip(r-4.6)fangs_0.2.24.zip(r-4.5)
fangs_0.2.24.tgz(r-4.6-x86_64)fangs_0.2.24.tgz(r-4.6-arm64)fangs_0.2.24.tgz(r-4.5-x86_64)fangs_0.2.24.tgz(r-4.5-arm64)
fangs_0.2.24.tar.gz(r-4.7-arm64)fangs_0.2.24.tar.gz(r-4.7-x86_64)fangs_0.2.24.tar.gz(r-4.6-arm64)fangs_0.2.24.tar.gz(r-4.6-x86_64)
fangs_0.2.24.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fangs/json (API)
NEWS

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

Bug tracker:https://github.com/dbdahl/fangs-package/issues

Datasets:
  • samplesFA - Samples from the Attraction Indian Buffet Distribution

On CRAN:

Conda:

rustcargo

1.85 score 1 scripts 7.1k downloads 3 exports 0 dependencies

Last updated from:35274d6d0f (on pkg/fangs). Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK128
source / vignettesOK175
linux-release-arm64OK154
linux-release-x86_64OK130
macos-release-arm64OK94
macos-release-x86_64OK205
macos-oldrel-arm64OK93
macos-oldrel-x86_64OK172
windows-develOK298
windows-releaseOK135
windows-oldrelOK132
wasm-releaseOK129

Exports:compute_expected_losscompute_lossfangs

Dependencies: