Package: MIMER 1.0.3

MIMER: Data Wrangling for Antimicrobial Resistance Studies

Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.

Authors:Anoop Velluva [aut, cre], Alessandro Gerada [ctb], Alexander Howard [ctb]

MIMER_1.0.3.tar.gz
MIMER_1.0.3.zip(r-4.5)MIMER_1.0.3.zip(r-4.4)MIMER_1.0.3.zip(r-4.3)
MIMER_1.0.3.tgz(r-4.4-any)MIMER_1.0.3.tgz(r-4.3-any)
MIMER_1.0.3.tar.gz(r-4.5-noble)MIMER_1.0.3.tar.gz(r-4.4-noble)
MIMER_1.0.3.tgz(r-4.4-emscripten)MIMER_1.0.3.tgz(r-4.3-emscripten)
MIMER.pdf |MIMER.html
MIMER/json (API)
NEWS

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 0.36 score 49 dependencies 1 scripts 289 downloads

Last updated 3 months agofrom:3c9fd62eed. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:check_previous_eventsclean_antibioticscleanse_urine_organism_namesis_systemic_routendc_is_antimicrobialndc_to_antimicrobialtranspose_microbioevents

Dependencies:AMRbriocallrclicpp11crayondata.tabledescdiffobjdigestdplyrevaluatefansifsfuzzyjoingenericsgeospheregluejsonlitelatticelifecyclemagrittrpillarpkgbuildpkgconfigpkgloadplyrpraiseprocessxpspurrrR6Rcpprematch2reshape2rlangrprojrootspstringdiststringistringrtestthattibbletidyrtidyselectutf8vctrswaldowithr