Open-source nonlinear mixed-effects (NLME) modeling engine for population PK/PD and pharmacometrics, with FOCEI, SAEM, analytical PK, and ODE models.
Turn any AI agent into a clinical pharmacologist and pharmacometrician. It reviews, reconciles, and prepares evidence. It never selects a dose, signs off, or submits.
Modeling and Simulation을 이용한 Special population에서의 약물 인허가 현황과 관련규정 https://pipetcpt.github.io/book-special-population
Documentation for ferx, an open-source NLME platform for population PK/PD with an R package and high-performance Rust engine.
Bayesian population PBPK modeling with Metropolis-Hastings MCMC — posterior distributions, predictive checks, convergence diagnostics (Python + R)
Benchmark-backed hybrid AI/ML covariate screening toolkit for population PK/PD, combining explainable ML, penalized confirmation, and SCM-style bridging.
R Shiny application for NONMEM workflows: create control streams, run NONMEM models, explore data and results, generate diagnostic plots and GOF, compare runs, and perform VPC, jackknife and sensitivity analyses.
Tidy parsing of NONMEM listing files (.lst) into tibbles — extracts THETA, OMEGA, SIGMA, OFV, condition number, and ETA shrinkage for population PK/PD workflows
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