multiRL.input

Usage

process_1_input(
  data,
  colnames = list(),
  funcs = list(),
  params = list(),
  priors,
  settings = list(),
  ...
)

data: A data frame in which each row represents a single trial, see data
colnames: Column names in the data frame, see colnames
funcs: The functions forming the reinforcement learning model, see funcs
params: Parameters used by the model’s internal functions, see params
priors: Prior probability density function of the free parameters, see priors
settings: Other model settings, see settings
...: Additional arguments passed to internal functions.