pharmml2mlxtran

model.input

model.output

Simulation and visualization of complex
models for longitudinal data. The models are encoded using the model coding
language 'Mlxtran', automatically converted into C++ codes, compiled on the
fly and linked to R using the 'Rcpp' package. That allows one to implement
very easily complex ODE-based models and complex statistical models,
including mixed effects models, for continuous, count, categorical, and
time-to-event data.

Marc Lavielle

pharmml2mlxtran: Translate PharmML into Mlxtran

Description

Usage

Arguments

Value