Fitting dose-response models in R

Hierarchical dose-response models in R

An R package to fit Bayesian model averaging of (possibly longitudinal) dose-response models.

U.S EPA Benchmark Dose Modeling Software (BMDS)

Refactored version of the drc package, a framework for fitting and analyzing dose–response models. This repository restructures the codebase to improve maintainability, transparency, and future development.

Biological effects and equivalent doses in radiotherapy: A software solution

Analysis of Ecotoxicology

tidy modelling of dose-response relationships with the drc package

Example R scripts to create a dose-response curve and extract ECx-values.

A Python module for analysis and visualization of dose-response data

EXPORT: Explainable VAE for ordinally perturbed transcriptomics data

This repository contains the raw data and R scripts for "Quantification of an Adverse Outcome Pathway network by Bayesian regression and Bayesian network modeling" by Moe et al. 2020, Integr Environ Assess Manag, doi:10.1002/ieam.4348.

This project aims to better understand how ketamine affects consciousness. It investigates markers of ego dissolution and dose-response relationships. Several subsequent studies will probably be published based on this project.

MATLAB-based toolkit for radiation dose-response analysis, including data validation, model selection, curve fitting, and dose inversion. Supports multiple survival fraction models (L, Q, LQ, LQC, LQL).

A Python library for building, summarizing, and fitting dose-response models

Postdoctoral Researcher in Pharmacometrics

Trimmed Spearman-Karber Method

R package to work with qPCR quantification of (bulk) aneuploidies.

Library for Dose-Response modeling in Python

Dose response models in stan