betaFastSlow: beta distribution worker class (handled as environment shared...

In PennStateDEPENdLab/fitclock: An R package to fit RT and Reward behavioral data from Michael Frank clock task.

Description

beta distribution worker class (handled as environment shared by epsilon and rho)

Usage

betaFastSlow(w = NULL, alpha_slow = 1.01, beta_slow = 1.01,
  alpha_fast = 1.01, beta_fast = 1.01, decay = 1, lastUpdateTrial = 1L,
  local_RT_learning_rate = 0.1)

Arguments

alpha_slow	alpha shape parameter for slow (above average) RTs
beta_slow	beta shape parameter for slow RTs
alpha_fast	alpha parameter for fast RTs
beta_fast	beta parameter for fast RTs
decay	decay parameter (knowledge of fast and slow reward dists decays with time)
lastUpdateTrial	what is the latest trial number for which beta updates were computed (necessary because betas are shared by rho and epsilon – avoid double update)
local_RT_learning_rate	learning rate modulating running calculation of recent mean RT.
w=NULL	Shared workspace environment

PennStateDEPENdLab/fitclock documentation built on May 8, 2019, 1:29 a.m.