| MPTinR-package | Analyze Multinomial Processing Tree Models |
| bmpt.fia | Compute FIA for MPTs |
| check.mpt | Check construction of MPT models. |
| d.broeder | Broeder & Schuetz (2009) Experiment 3 |
| fit.model | Fit cognitive models for categorical data using model files |
| fit.mpt | Function to fit MPT models |
| fit.mpt.old | Function to fit MPT models (old) |
| fit.mptinr | Fit cognitive models for categorical data using an objective function |
| gen.data | Generate or bootstrap data and get predictions from a model specified in a model file (or connection). |
| gen.predictions | Generate or bootstrap data and get predictions from a model specified in a model file (or connection). |
| get.mpt.fia | Convenient function to get FIA for MPT |
| lbmpt.to.mpt | Functions to transform MPT models. |
| make.eqn | Creates an EQN model file oir MDT data file |
| make.mdt | Creates an EQN model file oir MDT data file |
| make.mpt.cf | Functions to transform MPT models. |
| MPTinR | Analyze Multinomial Processing Tree Models |
| prediction.plot | Plot observed versus predicted values for categorical data. |
| prepare.mpt.fia | Provides MATLAB command to get FIA |
| rb.fig1.data | Data to be used for the examples of MPTinR. |
| rb.fig2.data | Data to be used for the examples of MPTinR. |
| roc6 | Recognition memory ROCs used by Klauer & Kellen (2015) |
| roc8 | Recognition memory ROCs used by Klauer & Kellen (2015) |
| sample.data | Generate or bootstrap data and get predictions from a model specified in a model file (or connection). |
| select.mpt | Model Selection with MPTinR |