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-4.5)themask_1.1.5.zip(r-4.4)themask_1.1.5.zip(r-4.3)
themask_1.1.5.tgz(r-4.4-any)themask_1.1.5.tgz(r-4.3-any)
themask_1.1.5.tar.gz(r-4.5-noble)themask_1.1.5.tar.gz(r-4.4-noble)
themask_1.1.5.tgz(r-4.4-emscripten)themask_1.1.5.tgz(r-4.3-emscripten)
themask.pdf |themask.html
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'))

Peer review:

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

Datasets:

On CRAN:

3.54 score 1 stars 8 scripts 6 exports 57 dependencies

Last updated 6 months agofrom:094cfa2e48. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macWARNINGOct 31 2024

Exports:%>%msk_availablemsk_createmsk_downloadmsk_gen_uidmsk_release

Dependencies:askpassbitbit64cachemcellrangerclicliprcpp11crayoncurldplyrfansifastmapfsgarglegenericsghgitcredsgluegoogledrivegooglesheets4hmshttrhttr2idsinijsonlitelifecyclelubridatemagrittrmemoisemimeopensslpiggybackpillarpkgconfigprettyunitsprogresspurrrR6rappdirsreadrrematchrematch2rlangstringistringrsystibbletidyselecttimechangetzdbutf8uuidvctrsvroomwithr

Accessing Masked Data

Rendered fromaccessing-data.Rmdusingknitr::rmarkdownon Oct 31 2024.

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