R: Inference and Prediction of Generic Physiologically-Based Kinetic Models

# Inference and Prediction of Generic Physiologically-Based Kinetic Models

## Documentation for package ‘rPBK’ version 0.2.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

dataCompartment4 | An example data set with 4 compartment
dataMaleGammarusSingle | An example data set with 1 compartment
dataPBK | Create a list giving data and parameters to use in the model inference.
dataPBK.data.frame | Create a list giving data and parameters to use in the model inference.
df_quant95_ | Compute 95 credible intervals
export_interpolate | Interpolate function implemented in Stan only export for checking
fitPBK | Bayesian inference of TK model with Stan
fitPBK.stanPBKdata | Bayesian inference of TK model with Stan
fitPBK_C4 | An example of fitPBK object
nested_model | Create a list giving data and parameters to use in the model inference.
nested_model.stanPBKdata | Create a list giving data and parameters to use in the model inference.
plot.fitPBK | Plotting method for 'fitPBK' objects
ppc | Posterior predictive check plot
ppc.fitPBK | Posterior predictive check plot