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DstarM (version 0.1.0)

Analyze Two Choice Reaction Time Data with the D*M Method

Description

A collection of functions to estimate parameters of a diffusion model via a D*M analysis. Build in models are: the Ratcliff diffusion model, the RWiener diffusion model, and Linear Ballistic Accumulator models. Custom models functions can be specified as long as they have a density function.

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Version

Install

install.packages('DstarM')

Monthly Downloads

615

Version

0.1.0

License

GPL (>= 2)

Maintainer

Don den Bergh

Last Published

August 29th, 2016

Functions in DstarM (0.1.0)

Helper function to do DstarM analyses by participant.

Estimate variance of nondecision density

Calculate Mean of the nondecision distribution.

Estimate quantiles of distribution

Estimate observed data density

Estimate nondecision denstiy

Do a D*M analysis

Estimate cumulative distribution for D*M models

Calculates the distance between two probability densities.

Test fun.density with lower and upper bounds

Calculate model density for a given set of parameters

Descriptives of reaction time data

Plot histogram of data with overlayed model predicted density.

Make histograms of reaction time data

Simulate data from a given densitiy function via multinomial sampling

Calculate Information Criteria