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hbmem (version 0.3-3)

Hierarchical Bayesian Analysis of Recognition Memory

Description

Contains functions for fitting hierarchical versions of EVSD, UVSD, DPSD, DPSD with d' restricted to be positive, 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

0.3-3

License

LGPL (>= 2.0)

Maintainer

Mike

Last Published

April 6th, 2018

Functions in hbmem (0.3-3)

Conditional Posteror Of Alpha for positive d'

Function sampleNormR

Function uvsdProbs

Function sampleNorm2

Function uvsdSample

Function to fit hierarchical DPSD model to data.

Function sampleSig2

function dpsdPosLogLike

Function sampleSig2b

Function gammaLogLike

Function dpsdLogLike

Function gammaLikeSim

Hierarchical Models of Recognition Memory

Pratte and Rouder Exp. 2

Function ld.alpha

As of yet unpublished dataset

Fit DPSD model with means in participant effect

Function cond.muD

Function dpsdProbs

Function gammaProbs

Fit DPSD model with R restricted to be function of N

Function sampleNormb

Function gammaSample

Function gammaSim

Function getPred

Function samplePosNorm

Function gammaC2Like

Data from Pratte, Morey and Rouder (2010)

As of yet unpublished dataset

gammaLikeLogLike

Function gammaLikeLogLike

gammaLikeSample

Function gammaLikeSample

Function nplike

Function gammaLike2C

Function sampleNorm

Function uvsdLogLike

Function sampleGamma

Function ld.beta

Function rtgamma

Function rtnorm

Class "uvsdSim"

Function uvsdSim

cond.rest.betaD

Function cond.rest.betaD

Class "dpsd" ~~~

Function defpar

Function cond.betaD

Function dpsdFullSim

Function dpsdFullSample

Function cond.thetaD

Function dpsdRNSim

cond.rest.alphaD

Function cond.rest.alphaD

Function dpsdRestSample

Function dpsdPosSample

Function dpsdPosSim

Class "dpsdSim"

Function dpsdSim

Function ld.theta

Function normalSim