Because abc::abc() requires summary statistics together with the
corresponding input parameters, this function converts the generated
simulated data into a standardized collection of summary statistics and
input parameters, facilitating subsequent execution of abc::abc().
Usage
engine_ABC(
data,
colnames,
behrule,
model,
funcs = NULL,
priors,
settings = NULL,
control = control,
...
)Arguments
- 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
- model
Reinforcement Learning Model
- 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
- control
Settings manage various aspects of the iterative process, see control
- ...
Additional arguments passed to internal functions.