biostats is an R package that functions as a toolbox to aid in biostatistics and clinical data analysis tasks and workflows.
- Descriptive statistics and exploratory data analysis
- Sample size and power calculation
- Statistical analysis and inference
- Data visualization
Designed primarily for comparative clinical studies, trial planning, and analysis, this package serves both as an analytical toolkit for professional biostatisticians and clinical data analysts and as an educational resource for researchers transitioning to R-based biostatistics, including professionals from other domains, clinical research professionals, and medical practitioners involved in the development of clinical trials.
Developed by the biostatistics team at Laboratorios Sophia S.A. de C.V.
# Install latest CRAN release:
install.packages("biostats")
# Or install developer version from GitHub:
#install.packages("pak")
pak::pak("sebasquirarte/biostats")library(biostats)Online documentation for this package is available here.
If you use biostats in your research, please cite our JOSS paper:
Quirarte-Justo et al., (2026). biostats: Biostatistics and Clinical Data Analysis in R. Journal of Open Source Software, 11(122), 10317, https://doi.org/10.21105/joss.10317
@article{Quirarte-Justo2026,
doi = {10.21105/joss.10317},
url = {https://doi.org/10.21105/joss.10317},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {122},
pages = {10317},
author = {Quirarte-Justo, Sebastian and Montaño-Ruiz, Angela Carolina and Torres-Arellano, José M.},
title = {biostats: Biostatistics and Clinical Data Analysis in R},
journal = {Journal of Open Source Software}
}We welcome feedback, suggestions, and bug reports. You can share your thoughts via email (sebastian.quirarte@sophia.com.mx) or GitHub issues.