McplBaseModel: Class "McplBaseModel"

In mcplR: Multiple Cue Probability Learning in R

Description

Basic class underlying LearningModel-class and ResponseModel-class.

Slots

x:

Matrix with predictor variables.

y

Matrix with criterion/response variable.

parameters:

(named) list with parameter values.

parStruct:

A ParStruct-class object.

nTimes:

An NTimes-class object.

Methods

AIC

signature(object = "McplBaseModel"): Akaike Information Criterion.

AICc

signature(object = "McplBaseModel"): Corrected Akaike Information Criterion.

BIC

signature(object = "McplBaseModel"): Bayesian Information Criterion/Schwartz Information Criterion.

fit

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

dens

signature(object = "McplBaseModel"): Density evaluated at values of y.

runm

signature(object = "McplBaseModel"): Run model (calculate model states using current parameters).

getPars

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

logLik

signature(object = "McplBaseModel"): Log-likelihood for current parameter values.

RSquare

signature(object = "McplBaseModel"): Squared correlation coefficient ("proportion variance explained")

show

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

summary

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

Author(s)

Maarten Speekenbrink

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