Package: hcruR 1.0.1

hcruR: Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence

Tools to estimate, compare, and visualize healthcare resource utilization using data derived from electronic health records or real-world evidence sources. The package supports pre index and post index analysis, patient cohort comparison, and customizable summaries and visualizations for clinical and health economics research. Methods implemented are based on Scott et al. (2022) <doi:10.1080/13696998.2022.2037917> and Xia et al. (2024) <doi:10.14309/ajg.0000000000002901>.

Authors:Maheshkumar Umbarkar [aut, cre, cph], Safiuddin Shoeb Syed [ctb]

hcruR_1.0.1.tar.gz
hcruR_1.0.1.zip(r-4.7-any)hcruR_1.0.1.zip(r-4.6-any)hcruR_1.0.1.zip(r-4.5-any)
hcruR_1.0.1.tgz(r-4.6-any)hcruR_1.0.1.tgz(r-4.5-any)
hcruR_1.0.1.tar.gz(r-4.7-any)hcruR_1.0.1.tar.gz(r-4.6-any)
hcruR_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hcruR/json (API)

# Install 'hcruR' in R:

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

Bug tracker:https://github.com/mumbarkar/hcrur/issues

Datasets:

hcru_sample_data - Sample Cohort Data

On CRAN:

3.70 score 1 stars 265 downloads 5 exports 69 dependencies

Last updated from:f2e918cd0c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	161
source / vignettes	OK	230
linux-release	OK	158
macos-release	OK	192
macos-oldrel	OK	190
windows-devel	OK	104
windows-release	OK	98
windows-oldrel	OK	83
wasm-release	OK	116

Exports:estimate_hcru plot_hcru preproc_hcru_fun summarize_descriptives summarize_descriptives_gt

Dependencies:backports base64enc bigD bitops bslib cachem cards cardx checkmate cli commonmark cpp11 curl digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gt gtable gtsummary highr htmltools htmlwidgets isoband jquerylib jsonlite juicyjuice knitr labeling lifecycle litedown magrittr markdown memoise mime pillar pkgconfig purrr R6 rappdirs RColorBrewer Rcpp reactable reactR rlang rmarkdown S7 sass scales stringi stringr tibble tidyr tidyselect tinytex utf8 V8 vctrs viridisLite withr xfun xml2 yaml

hcruR

Load library and the data | Generate HCRU summary using dplyr (this can be used for create HCRU plots) | Generate HCRU summary using gtsummary (a publication ready output) | Generate the HCRU plot: average visits by cohort and time-line | Generate HCRU plot for average cost by cohort and timeline

Rendered fromhcruR.Rmdusingknitr::rmarkdown

Last update: 2025-07-05
Started: 2025-05-07

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
estimate_hcru	estimate_hcru
Sample Cohort Data	hcru_sample_data
plot_hcru	plot_hcru
preproc_hcru_fun	preproc_hcru_fun
Generate Detailed Descriptive Statistics	summarize_descriptives
Generate Detailed Descriptive Statistics with Custom P-Value Tests	summarize_descriptives_gt