Package: hestia 0.1.0

Claire Perrin Smith

hestia: Bayesian Compartmental Infection Models from Individual Outcomes

Fit Bayesian compartmental infection models (such as susceptible-infected-recovered and multi-compartment hidden Markov variants) from individual-level outcome data. Models are composed from infection-process and observation-process components and fit using Stan via 'rstan'.

Authors:Claire Perrin Smith [aut, cre], Jack Goodall [aut]

hestia_0.1.0.tar.gz
hestia_0.1.0.zip(r-4.7-x86_64)hestia_0.1.0.zip(r-4.7-arm64)hestia_0.1.0.zip(r-4.6-x86_64)hestia_0.1.0.zip(r-4.6-arm64)hestia_0.1.0.zip(r-4.5-x86_64)
hestia_0.1.0.tgz(r-4.6-x86_64)hestia_0.1.0.tgz(r-4.6-arm64)hestia_0.1.0.tgz(r-4.5-x86_64)hestia_0.1.0.tgz(r-4.5-arm64)
hestia_0.1.0.tar.gz(r-4.7-arm64)hestia_0.1.0.tar.gz(r-4.7-x86_64)hestia_0.1.0.tar.gz(r-4.6-arm64)hestia_0.1.0.tar.gz(r-4.6-x86_64)
hestia_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hestia/json (API)

# Install 'hestia' in R:

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

Bug tracker:https://github.com/accidda/hestia/issues

Pkgdown/docs site:https://accidda.github.io

Uses libs:

onetbb– Parallelism library for C++
c++– GNU Standard C++ Library v3

On CRAN:

onetbb cpp

6.43 score 3 stars 11 scripts 7 exports 56 dependencies

Last updated from:f7592871ba. Checks:13 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	242
linux-devel-x86_64	WARNING	354
source / vignettes	OK	461
linux-release-arm64	WARNING	244
linux-release-x86_64	WARNING	245
macos-release-arm64	WARNING	194
macos-release-x86_64	WARNING	531
macos-oldrel-arm64	WARNING	248
macos-oldrel-x86_64	WARNING	633
windows-devel-arm64	WARNING	506
windows-devel-x86_64	WARNING	386
windows-release-arm64	WARNING	513
windows-release-x86_64	WARNING	345
windows-oldrel-x86_64	WARNING	355
wasm-release	OK	247