MAP-Bayesian Estimation of PK Parameters
Add covariate columns to a dataset
Add administration lines to a dataset
Return the mapbay_tab as a data.frame
Compute full PK profile prediction from mapbayr estimates.
Compute full PK profile prediction from mapbayr estimates.
Check if model is valid for 'mapbayr'
Compute the objective function value
Data helpers: functions to build the dataset
Deprecated functions
Simulate with mapbayr
Generate a vector of "ETA"
Example model and data
Filter a dataset within a mrgmod
Get content from object
Plot posterior distribution of bayesian estimates
Estimate parameters (maximum a posteriori)
Make mapbayr plot
Visual Predicted Checks
Average predictions from multiple models
Add observation lines to a dataset
Parse value to "POSIXct"
Plot predictions from mapbayests object
Preprocess model and data for ofv computation
Pre-process: arguments for optimization function
Print a mapbayests object
Objects exported from other packages
Use posterior estimation
Compare results to NONMEM .phi
Read compartment options in a model
Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in 'mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.