params: Extract Parameters from BKT model

In BKT: Bayesian Knowledge Tracing Model

Extract Parameters from BKT model

Description

Extract fitted parameters from a BKT model. This function retrieves the parameters from a fitted BKT model object. The parameters include model-specific values such as "learns", "guesses", "slips", and "forgets". These parameters are returned in a format that is easy to print or manipulate for further analysis.

Usage

params(object)

Arguments

object

A fitted BKT model object. The model should have been previously fitted using the fit() function, otherwise no parameters will be available.

Value

A data frame containing the fitted model parameters. The data frame will typically include columns such as 'learns', 'guesses', 'slips', and other model-specific values.

Examples

data("simulation_data_50", package = "BKT")
model <- bkt(seed = 42, parallel = FALSE, num_fits = 1)
result <- fit(model, data = simulation_data_50)
params_df <- params(result)
print(params_df)

BKT documentation built on Sept. 5, 2026, 5:07 p.m.