Essential functionality
Fit a kinetic model to data with one or more state variables
Function to set up a kinetic model with one or more state variables
Fit one or more kinetic models with one or more state variables to one or more datasets
Functions working with mkinfit objects
Function to calculate endpoints for further use from kinetic models fitted with mkinfit
Calculate the minimum error to assume in order to pass the variance test
Function to plot the confidence intervals obtained using mkinfit
Function to plot residuals stored in an mkin object
Functions working with aggregated results
Subsetting method for mmkin objects
Plot model fits (observed and fitted) and the residuals for a row or column of an mmkin object
Results of fitting the DFOP model to Datasets A to B of FOCUS (2006)
Results of fitting the FOMC model to Datasets A to F of FOCUS (2006)
Results of fitting the HS model to Datasets A to F of FOCUS (2006)
Results of fitting the SFO model to Datasets A to F of FOCUS (2006)
Datasets on aerobic soil metabolism of 2,4,5-T in six soils
Synthetic datasets for one parent compound with two metabolites
Convert a dataframe from long to wide format
Convert a dataframe with observations over time into long format
Produce predictions from a kinetic model using specific parameters
Function to set up a kinetic submodel for one state variable
Parent only model solutions
Double First-Order in Parallel kinetics
First-Order Multi-Compartment kinetics
Indeterminate order rate equation kinetics
Single First-Order Reversible Binding kinetics
Add normally distributed errors to simulated kinetic degradation data
Functions that have been superseeded
Plot the observed data and the fitted model of an mkinfit object