Package: themask 1.1.5

Aaron Chafetz

themask: Masks and houses the PEPFAR MSD-style training dataset for testing and training

This package creates and hosts a masked, dummy dataset that should be used for testing, training, and demoing instead of using actual PEPFAR data.

Authors:Aaron Chafetz [aut, cre], Tim Essam [ctb]

themask_1.1.5.tar.gz
themask_1.1.5.zip(r-4.7)themask_1.1.5.zip(r-4.6)themask_1.1.5.zip(r-4.5)
themask_1.1.5.tgz(r-4.6-any)themask_1.1.5.tgz(r-4.5-any)
themask_1.1.5.tar.gz(r-4.7-any)themask_1.1.5.tar.gz(r-4.6-any)
themask_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
themask/json (API)
NEWS

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

Bug tracker:https://github.com/usaid-oha-si/themask/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 8 scripts 6 exports 55 dependencies

Last updated from:094cfa2e48. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING140
source / vignettesOK240
linux-release-x86_64WARNING129
macos-release-arm64WARNING85
macos-oldrel-arm64WARNING86
windows-develWARNING81
windows-releaseWARNING97
windows-oldrelWARNING87
wasm-releaseOK124

Exports:%>%msk_availablemsk_createmsk_downloadmsk_gen_uidmsk_release

Dependencies:askpassbitbit64cachemcellrangerclicliprcpp11crayoncurldplyrfastmapfsgarglegenericsgitcredsgluegoogledrivegooglesheets4hmshttrhttr2idsinijsonlitelifecyclelubridatemagrittrmemoisemimeopensslpiggybackpillarpkgconfigprettyunitsprogresspurrrR6rappdirsreadrrematchrematch2rlangstringistringrsystibbletidyselecttimechangetzdbutf8uuidvctrsvroomwithr

Accessing Masked Data

Rendered fromaccessing-data.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2024-06-03
Started: 2023-10-11