McplModel-class: Class "McplModel"

In mcplR: Multiple Cue Probability Learning in R

Description

An MCPL model, containing a learning and response model.

Slots

learningModel:

A LearningModel-class object.

responseModel:

A ResponseModel-class object.

Methods

AIC

signature(object = "McplModel"): Akaike Information Criterion- based on response model.

AICc

signature(object = "McplModel"): Corrected Akaike Information Criterion - based on response model.

BIC

signature(object = "McplModel"): Bayesian Information Criterion/Schwartz Information Criterion - based on response model.

fit

signature(object = "McplModel"): Estimate model parameters (by Maximum Likelihood).

runm

signature(object = "McplModel"): Calculate (trial dependent) model states given current parameters.

getPars

signature(object = "McplModel"): Get current parameter values.

logLik

signature(object = "McplModel"): Log-likelihood for current parameter values - based on response model.

RSquare

signature(object = "McplModel"): Squared correlation coefficient - a.k.a "proportion variance explained" - based on response model.

setPars

signature(object = "McplModel"): Set parameter values.

show

signature(object = "McplModel"): Display object briefly.

summary

signature(object = "McplModel"): Generate object summary.

Author(s)

Maarten Speekenbrink

mcplR documentation built on May 2, 2019, 4:42 p.m.