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
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fangs_0.2.24.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fangs/json (API)

# 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

1.00 score 1 scripts 496 downloads 3 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK138
source / vignettesOK178
linux-release-arm64OK178
linux-release-x86_64OK174
macos-release-arm64OK109
macos-release-x86_64OK192
macos-oldrel-arm64OK102
macos-oldrel-x86_64OK234
windows-develOK134
windows-releaseOK135
windows-oldrelOK127
wasm-releaseOK130

Exports:compute_expected_losscompute_lossfangs

Dependencies: