# Analyze Multinomial Processing Tree Models

## Documentation for package ‘MPTinR’ version 1.14.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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