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The updated release of the kidney.epi R package — a curated toolkit of kidney-related functions tailored for clinical and epidemiological research

March 31, 2025

Scientific-Tools.Org is pleased to announce the latest release of the kidney.epi CRAN R package — a curated set of functions specifically designed to support clinical and epidemiological kidney research. This package is part of a broader mission at Scientific-Tools.Org: to help research teams work faster, more transparently, and with confidence through clean, purpose-built scientific tools. If you need a custom R package or support with designing your analytical workflow, get in touch to discuss your needs — from reproducible tools for data analysis to solutions for health research and decision support. You can explore all our services focused on enhancing research productivity and scientific knowledge dissemination.

Why use kidney.epi?

The kidney.epi package enables fast, reliable calculations for clinical trials and observational studies of all sizes. By automating routine analyses, it saves valuable time for research teams, allowing them to focus on scientific insights rather than redundant coding tasks.

Key Features

  • Comprehensive Kidney Metrics
    Calculate estimated glomerular filtration rate (eGFR) using multiple equations, categorize albuminuria levels, and compute the Kidney Donor Profile Index (KDPI) and the Kidney Donor Risk Index (KDRI) with ease.

  • Clean, Documented, and Reusable Code
    Designed for automation and consistency, the functions are intuitive, well-documented, and accessible — even for users with limited programming experience.

  • Smart Input Validation
    Intelligent input controls automatically flag implausible or out-of-scope values, ensuring clinically sound outputs.

  • Flexible Dataset Integration
    Easily adapt to your existing data structure with customizable value labels for variables such as sex and ethnicity — no data reformatting required.

Explore the package functionality

💡Install the package in R

install.packages("kidney.epi")

👉 Read package documentation

🎯 Support this non-commercial project

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