Package: vahtian.epinet 0.1.0

Heidi Helena Andersen

vahtian.epinet: R Interface to the EpiNet Toolkit

An R interface to EpiNet, a transparent toolkit for honestly evaluated outcome models on tabular and graph-shaped data. It wraps the tested Python 'vahtian.epinet' package through 'reticulate', so the algorithms are single-sourced and cannot diverge across languages, and returns calibrated, caveated results: discrimination, calibration, bootstrap intervals, a label-permutation null, and feature importance. A research and education demonstrator, not clinical decision support.

Authors:Heidi Helena Andersen [aut, cre]

vahtian.epinet_0.1.0.tar.gz
vahtian.epinet_0.1.0.zip(r-4.7)vahtian.epinet_0.1.0.zip(r-4.6)vahtian.epinet_0.1.0.zip(r-4.5)
vahtian.epinet_0.1.0.tgz(r-4.6-any)vahtian.epinet_0.1.0.tgz(r-4.5-any)
vahtian.epinet_0.1.0.tar.gz(r-4.7-any)vahtian.epinet_0.1.0.tar.gz(r-4.6-any)
vahtian.epinet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
vahtian.epinet/json (API)

# Install 'vahtian.epinet' in R:

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

Bug tracker:https://github.com/heidihelena/epinet/issues

On CRAN:

calibration clinical-prediction-models data-science epidemiology federated-analysis machine-learning network-analysis python reproducibility

2.30 score 1 stars 4 exports 12 dependencies

Last updated from:b1076a36a1. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	141
source / vignettes	OK	172
linux-release-x86_64	OK	141
macos-release-arm64	OK	209
macos-oldrel-arm64	OK	184
windows-devel	OK	144
windows-release	OK	138
windows-oldrel	OK	143
wasm-release	OK	126

Exports:epinet epinet_contestability epinet_federated epinet_graph

Dependencies:here jsonlite lattice Matrix png rappdirs Rcpp RcppTOML reticulate rlang rprojroot withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fit EpiNet's honestly-evaluated outcome model on a data frame	epinet plot.epinet print.epinet summary.epinet
Score contestability against the outcome-class centroids	epinet_contestability plot.epinet_contestability print.epinet_contestability summary.epinet_contestability
Federate the fit across sites and check it reconstructs the centralized run	epinet_federated plot.epinet_federated print.epinet_federated summary.epinet_federated
Build a graph, derive graph features, and fit the outcome model	epinet_graph plot.epinet_graph print.epinet_graph summary.epinet_graph