Package: autotracer 0.0.1

Michael DeWitt

autotracer: Probabilistically Identify Clusters in Electronic Medical Records

What the package does (one paragraph).

Authors:Michael DeWitt [aut, cre], Cone Health [aut, cph]

autotracer_0.0.1.tar.gz
autotracer_0.0.1.zip(r-4.5)autotracer_0.0.1.zip(r-4.4)autotracer_0.0.1.zip(r-4.3)
autotracer_0.0.1.tgz(r-4.4-any)autotracer_0.0.1.tgz(r-4.3-any)
autotracer_0.0.1.tar.gz(r-4.5-noble)autotracer_0.0.1.tar.gz(r-4.4-noble)
autotracer_0.0.1.tgz(r-4.4-emscripten)autotracer_0.0.1.tgz(r-4.3-emscripten)
autotracer.pdf |autotracer.html✨
autotracer/json (API)

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

Peer review:

Bug tracker:https://github.com/conedatascience/autotracer/issues

Datasets:
  • autotracer_linelist - Simulated Patient Data Synthetic data that can be used to explore "autotracer"

On CRAN:

1.70 score 2 scripts 1 exports 66 dependencies

Last updated 4 years agofrom:5fccabd4b9. Checks:OK: 1 NOTE: 6. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winNOTENov 11 2024
R-4.5-linuxNOTENov 11 2024
R-4.4-winNOTENov 11 2024
R-4.4-macNOTENov 11 2024
R-4.3-winNOTENov 11 2024
R-4.3-macNOTENov 11 2024

Exports:connect_probable_cases

Dependencies:apebase64encbslibcachemclicolorspacecpp11data.tabledigestdistcretedplyrepitrixevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeoutbreaker2pillarpkgconfigpurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalessodiumstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitevisNetworkwithrxfunyaml