| 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 |
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