bayesianGonzalezWu: bayesianGonzalezWu

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

Description

bayesianGonzalezWu

Usage

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

Arguments

stimuli	a vector of stimuli, between 0 and inf
kappa	The location of the category in subjective space (from -inf to inf). Defaults to 0
kappaObjective	An alternative specification for the kappa location, situated in objective measures.
responses	an optional vector of responses
tauStimuli	The precision of the stimulus traces: may be a single number or a vector
tauCategory	The precision of the category distribution
leftBoundaryObjective	The location (in objective units) of the posited (or fitted) psychological left-hand boundary of legal stimulus values. Defaults to a small amount less than 0
rightBoundaryObjective	The location (in objective units) of the posited (or fitted) psychological right-hand boundary of legal stimulus values. Defaults to a small amount more than 1
rightBoundaryExpansion	How much beyond the maximum stimulus/response value should the right boundary be expanded?
leftBoundaryExpansion	How much beyond the minimium stimulus/response value should the left boundary be expanded?
minValue	The lowest range value (in objective units). Should be at least as small as the smallest stimulus and response.
maxValue	The highest range value (in objective units). Should be at least as large as the largest stimulus and response.
smallValue	a small amount, by which to default boundary expansion
mode	What aspect should the function calculate? Legel choices include "prediction", "simulation", and "subjectiveLogLikelihood"
responseGrid	an optional vector of response structured Responses If responses are given, the return value is the logLikelihood of the responses given the parameters

Value

A vector the transformed stimuli

See Also

bayesianHuttenlocherSpatialMemory

Examples

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

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