bayesianSpatialMemoryLandyCrawfordCorbin2017: bayesianSpatialMemoryLandyCrawfordCorbin2017

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

Description

A simple package that assembles the symmetric model used by Landy, Crawford, and Corbin, 2017 to analyze spatial estimations from memory in one dimension

Usage

bayesianSpatialMemoryLandyCrawfordCorbin2017(stimuli,
  kappa = psiLogOdds(multiCycle(kappaObjective, references =
  c(leftBoundaryObjective, rightBoundaryObjective))), kappaObjective = 0.5,
  tauStimuli = 1, tauCategory = 1, leftBoundaryObjective = minValue -
  smallValue, rightBoundaryObjective = maxValue + smallValue,
  rightBoundaryExpansion = NULL, leftBoundaryExpansion = NULL,
  minValue = min(c(stimuli), na.rm = T), maxValue = max(c(stimuli), na.rm =
  T), smallValue = 10^-10, responses = NULL, center = 0,
  mode = "prediction", responseGrid = NULL)

Arguments

stimuli	a vector of stimuli, between -inf and inf
kappa	The location of the categories (presumed symmetric on both sides around the midline of the screen)
kappaObjective	The location of the categories measured in objective units
tauStimuli	The precision of the stimulus traces: should be a single number
tauCategory	The precision of the category distribution: should be a single number
responses	an optional vector of responses. If responses are given, the return value is the logLikelihood of the responses given the parameters
center	The posited (or fitted) psychological center of the screen (in public units: should be near the true center)
responseGrid	an optional vector of response structured Responses
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'

Value

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

See Also

psiIdentity, multiCycleInverse

Examples

bayesianSpatialMemoryLandyCrawfordCorbin2017(-99:100/100)
bayesianSpatialMemoryLandyCrawfordCorbin2017(-99:100/100, kappa=1, tauStimuli=2)
bayesianSpatialMemoryLandyCrawfordCorbin2017(1:100, kappa=1, tauStimuli=2, responses=2*(1:100)^.9)

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