Simulation of Longitudinal Data
Plot Categorical Longitudinal Data
Computation of AUC, Cmax and Cmin
mlxR wrapper for ggplot
Initialize mlxR library
inline data frame
inline model
Kaplan Meier plot
Read Lixoft@ files
Explore and visualize models
Convert a Monolix Project into an executable for the simulator Simulx
Easy simulation of PK modelsEasy simulation of basic PK modelsSee http...
Percentiles of the empiricial distribution of longitudinal data
Reads a table into a vector
Read formatted data file
Automatic code generation for Shiny applications
Population parameters simulation
Simulation of mixed effects models and longitudinal data
Summary of data
Write formatted data file
Simulation and visualization of complex models for longitudinal data. The models are encoded using the model coding language 'Mlxtran' and automatically converted into C++ codes. 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.