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hbmem (version 0.2)

Hierarchical Bayesian Analysis of Recognition Memory

Description

Contains functions for fitting hierarchical versions of EVSD, UVSD, DPSD, and our gamma signal detection model to recognition memory confidence-ratings data.

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Version

Install

install.packages('hbmem')

Monthly Downloads

261

Version

0.2

License

LGPL (>= 2.0)

Maintainer

Mike

Last Published

October 29th, 2012

Functions in hbmem (0.2)

Class "dpsd" ~~~

Function cond.muD

Function dpsdLogLike

Function defpar

cond.rest.betaD

Function cond.rest.betaD

Function dpsdFullSim

Function sampleNorm2

gammaLikeLogLike

Function gammaLikeLogLike

Function cond.betaD

cond.rest.alphaD

Function cond.rest.alphaD

Function sampleSig2

Function dpsdFullSample

gammaLikeSample

Function gammaLikeSample

Function ld.theta

Function uvsdProbs

As of yet unpublished dataset

Function dpsdRNSim

Function sampleNormb

Function sampleGamma

Function gammaC2Like

Function dpsdRestSample

Function getPred

Function gammaSim

Function sampleNorm

Function gammaLike2C

Function ld.alpha

Function dpsdPosSim

Function ld.beta

Function gammaLikeSim

Function gammaProbs

Function gammaSample

Function rtgamma

Conditional Posteror Of Alpha for positive d'

Function cond.thetaD

Function dpsdPosSample

Class "dpsdSim"

Function sampleNormR

Function samplePosNorm

Fit DPSD model with means in participant effect

function dpsdPosLogLike

Function nplike

Hierarchical Models of Recognition Memory

Function dpsdSim

Function normalSim

Class "uvsdSim"

Fit DPSD model with R restricted to be function of N

Function rtnorm

Function sampleSig2b

Function gammaLogLike

Function uvsdSim

Function uvsdLogLike

Function to fit hierarchical DPSD model to data.

Function dpsdProbs

Function uvsdSample