addmtoolbox: addmtoolbox: Fit (attentional) drift diffusion models
In AlexanderFengler/addmtoolbox: addmtoolbox

Description addm_dataprep() addm_run_...() functions addm_fit_...() functions addm_plot_...() functions addm_support_...() functions aevacc_...() functions

The addmtoolbox package provides six categories of functions: addm_dataprep(), addm_run_...(), addm_fit_...(), addm_plot_...(), addm_support_...(), aevacc_...().

This function gets your data in shape for easy usage with the other functions in the package. It is not strictly necessary to use it, however strongly recommended for predictable behavior.

These are wrapper functions to run a (a)ddm simulations for a set of provided parameters.

These functions allow you to do maximum likelihood fits of the model, provided with a parameter space. Currently only grid search is possible, however new fitting methods will be developed in the near future.

This set of functions will enable you to plot various psychometrics (currently two plots) and diagnostics of the modelfits.

This set of functions is used internally. You normally don't call any of those directly, however I make them available to aid understanding of the source code.

These functions are the core implementations of the simulation algorithms (coded in c++). They are called internally, and you normally would not need to call them directly. They are however callable by name directly in R. As the addm_support_...() functions, I make them available to aid understanding of the source code.

AlexanderFengler/addmtoolbox documentation built on May 5, 2019, 4:53 a.m.