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pdmod (version 1.0.1)

Proximal/Distal Modeling Framework for Pavlovian Conditioning Phenomena

Description

Fits a model of Pavlovian conditioning phenomena, such as response extinction and spontaneous recovery, and partial reinforcement extinction effects. Competing proximal and distal reward predictions, computed using fast and slow learning rates, combine according to their uncertainties and the recency of information. The resulting mean prediction drives the response rate.

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Version

Install

install.packages('pdmod')

Monthly Downloads

26

Version

1.0.1

License

GPL (>= 2)

Maintainer

Chloe Bracis

Last Published

February 13th, 2018

Functions in pdmod (1.0.1)

computeModel

Calculates proximal/distal model
pdmod-package

Proximal/Distal Modeling Framework
Constants

Constants
fitModel

Fit model parameters
averageBySession

Average by session
plot.pdmod

Plot model
verifyTimedVector

Verify TimedVector
TimedVector

Create a TimedVector
calculateResponse

Calculate response from the estimate
isTimedVector

Is TimedVector
modelObjectiveFunction

Objective function to fit model parameters