ll_MW: Max Winner model

In gjcooper/gcphd-model_of_dce: Models of Consumer Choice Experiments

Max Winner model

Description

A model where both accumulators for Price and Rating must terminate before either the option is accepted or rejected.

A model where both accumulators for Price and Rating must terminate before either the option is accepted or rejected.

Usage

ll_MW(rt, A, b_acc, b_rej, t0, drifts, accept)

ll_MW(rt, A, b_acc, b_rej, t0, drifts, accept)

Arguments

rt	A vector of response times
A	Start point variability
b_acc	positive evidence threshold
b_rej	negative evidence threshold
t0	non decision time parameter
drifts	An array of drift rates, 4 x length(rt) with the columns being vectors of drift rates for accept price, reject price, accept rating, reject rating respectively
accept	Whether we are looking at accept or reject trials

Value

The log likelihood of the rts for the accept or reject trials given the provided parameter values

The log likelihood of the rts for the accept or reject trials given the provided parameter values

gjcooper/gcphd-model_of_dce documentation built on March 25, 2024, 8:57 a.m.