stickyChoice: stickyChoice: weight and decay parameters to scale effect of...

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

Description

stickyChoice: weight and decay parameters to scale effect of prior RTs on current RT

Usage

stickyChoice(min_value = c(weight = 0, decay = 0), max_value = c(weight = 1,
  decay = 1), init_value = c(weight = 0.3, decay = 0.1),
  cur_value = init_value, par_scale = c(weight = 0.1, decay = 0.1),
  by = NULL)

Arguments

min_value	Lower bound for stickyChoice parameter.
max_value	Upper bound for stickyChoice parameter.
init_value	Initial value for stickyChoice parameter.
cur_value	Current value for stickyChoice parameter.
par_scale	Expected parameter scale.
by	character vector defining one or more run-level fields over which this parameter varies.

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