run_stochastic_model: Run Stochastic Model on Provided Conditions

In kachergis/XSLmodels: Run and optimize cross-situational word learning models

Run Stochastic Model on Provided Conditions

Description

This function runs a stochastic version of the specified word learning model on a set of provided conditions. It simulates the model multiple times and aggregates the results. The function can return either a response matrix, model performance, or sum of squared errors (SSE).

Usage

run_stochastic_model(
  conds,
  model_name,
  parameters,
  SSE_only = F,
  print_perf = F,
  get_resp_matrix = F,
  Nsim = 500
)

Arguments

conds	A list representing the conditions under which the model is run. This could include training and testing data, along with human item accuracy (HumanItemAcc).
model_name	A string specifying the name of the stochastic model to run.
parameters	A list of parameters to be used by the stochastic model.
SSE_only	Logical; if TRUE, only the SSE will be returned.
print_perf	Logical; if TRUE, model performance and SSE will be printed.
get_resp_matrix	Logical; if TRUE, the function returns the response matrix instead of the standard performance metrics.
Nsim	Integer; the number of simulations to run for the stochastic model.

Value

Depending on the parameters, the function can return different types of outputs:

• If get_resp_matrix is TRUE, it returns a response matrix aggregated over all simulations.

• If SSE_only is TRUE, it returns only the SSE.

• Otherwise, it returns a list containing model performance across conditions and the SSE.

kachergis/XSLmodels documentation built on Feb. 25, 2024, 10:43 p.m.