Package: hobbs 0.4.5

Mike Kleinsasser

hobbs: High Dimensional Bayesian Omnibus Sampler

Enables high dimensional statistical modeling using Bayesian inference and provides a probabilistic programming language for high dimensional problems. See Kleinsasser (2026) <doi:10.5281/zenodo.22309216>.

Authors:Mike Kleinsasser [aut, cre]

hobbs_0.4.5.tar.gz
hobbs_0.4.5.zip(r-4.7-x86_64)hobbs_0.4.5.zip(r-4.7-arm64)hobbs_0.4.5.zip(r-4.6-x86_64)hobbs_0.4.5.zip(r-4.6-arm64)hobbs_0.4.5.zip(r-4.5-x86_64)
hobbs_0.4.5.tgz(r-4.6-x86_64)hobbs_0.4.5.tgz(r-4.6-arm64)hobbs_0.4.5.tgz(r-4.5-x86_64)hobbs_0.4.5.tgz(r-4.5-arm64)
hobbs_0.4.5.tar.gz(r-4.7-arm64)hobbs_0.4.5.tar.gz(r-4.7-x86_64)hobbs_0.4.5.tar.gz(r-4.6-arm64)hobbs_0.4.5.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
hobbs/json (API)

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

Bug tracker:https://github.com/hobbs-dev/hobbs/issues

On CRAN:

Conda:

rustcargo

3.54 score 1 stars 46 downloads 6 exports 0 dependencies

Last updated from:4f3101f688. Checks:14 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK121
linux-devel-x86_64OK152
source / vignettesOK202
linux-release-arm64OK156
linux-release-x86_64OK144
macos-release-arm64OK110
macos-release-x86_64OK285
macos-oldrel-arm64OK138
macos-oldrel-x86_64OK310
windows-devel-arm64OK255
windows-devel-x86_64OK197
windows-release-arm64OK228
windows-release-x86_64OK147
windows-oldrel-x86_64OK122
wasm-releaseFAIL131

Exports:hobbshobbs_build_samplerhobbs_check_samplerhobbs_example_modelread_hobbsread_hobbs_mean

Dependencies: