estimate_0_ENV

Usage

estimate_0_ENV(
  data,
  colnames = list(),
  behrule,
  funcs = list(),
  priors = list(),
  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
behrule: The agent’s implicitly formed internal rule, see behrule
funcs: The functions forming the reinforcement learning model, see funcs
priors: Prior probability density function of the free parameters, see priors
settings: Other model settings, see settings
...: Additional arguments passed to internal functions.

multiRL.env