fitModel: Fit model parameters

In pdmod: Proximal/Distal Modeling Framework for Pavlovian Conditioning Phenomena

Description

Estimates parameters for proximal/distal model using multi-criteria estimation (mco)

Usage

  fitModel(dataX, dataResponse,
    responseFunction = calculateResponse,
    sessionBoundaries = NA, fitG = TRUE)

Arguments

dataX	Object of class TimedVector specifying trials including whether signal was rewarded/unrewarded and times
dataResponse	Corresponding observations of subject's response to signal
responseFunction	The function to use to transform the mean estimate into a response
sessionBoundaries	(optional) Vector defining how to group the trials into sessions where the items are the starting indicies for each session (so the last value can be the index after the last trial) and NAs are used for gaps between sessions
fitG	TRUE (default) to estimate g, or FALSE to fix g at 0

Value

Model fit

Author(s)

Chloe Bracis

See Also

computeModel

pdmod documentation built on May 2, 2019, 5:16 a.m.