biexponential {YEAB}R Documentation

Biexponential Model

Description

Implements a simpler biexponential model without the refractory period parameter, \delta.

The simpler model is defined as:

p(IRT = \tau) = p w e^{-w \tau} + (1 - p) b e^{-b \tau}

where w and b represent the within- and between-bout response rates, and p is the proportion of responses in bouts.

Usage

biexponential(irt)

Arguments

irt

A numeric vector representing inter-response times.

Value

A data frame with estimated parameters w (proportion of responses in bouts), l0 (within-bout mean IRT), and l1 (between-bout mean IRT).

Examples

set.seed(43)
l1 <- 1 / 0.5
l2 <- 1 / 0.1
p <- 0.4
n <- 200
irt <- c(rexp(round(n * p), l1), rexp(round(n * (1 - p)), l2))
biexponential(irt)


[Package YEAB version 1.0.6 Index]