bayesianSpatialMemoryHuttenlocher: bayesianSpatialMemoryHuttenlocher

In dlandy/WarpedBayes: Implements Design Pattern Discussed in Landy, Crawford, & Corbin

Description

A simple package that assembles the symmetric model used by Huttenlocher and colleagues to analyze spatial estimations from memory in one dimension.

Usage

bayesianSpatialMemoryHuttenlocher(stimuli, kappaObjective = 0.5,
  kappa = psiLogOdds(kappaObjective), tauStimuli = 1, tauCategory = 1,
  boundary = 1, leftBoundary = -1 * boundary, rightBoundary = boundary,
  center = 0, responses = "prediction", responseGrid = NULL)

Arguments

stimuli	a vector of stimuli, in public units between -inf and inf
kappaObjective	An alternative specification giving kappa in objective units
kappa	The location of the right-side category (presumed symmetric on both sides around the midline of the screen)
tauStimuli	The precision of the stimulus traces: should be a single number
tauCategory	The precision of the category distribution: should be a single number
boundary	The subject-specific location of the boundaries: may bear any relation to true stimuli, except that it should not leave real data outside the boundaries
leftBoundary	The location of the posited (or fitted) psychological left-hand boundary of the screen. Defaults to -1 * 'boundary'
rightBoundary	The location of the posited (or fitted) psychological right-hand boundary of the screen. Defaults to 'boundary'
center	The posited (or fitted) psychological center of the screen (in public units: should be near the true center)
responses	an optional vector of responses. If responses are given, the return value is the logLikelihood of the responses given the parameters
responseGrid	an optional vector of response structured Responses

Details

This package

Value

A vector the transformed stimuli, or the logLikelihood of them.

See Also

psiIdentity, multiCycleInverse

Examples

bayesianSpatialMemoryHuttenlocher(-99:100/100)
bayesianSpatialMemoryHuttenlocher(-99:100/100, kappa=1, tauStimuli=2)
bayesianSpatialMemoryHuttenlocher(1:100, kappa=1, tauStimuli=2, responses=2*(1:100)^.9)

dlandy/WarpedBayes documentation built on May 29, 2019, 2:49 p.m.