logLik.drift_dm: Extract Log-Likelihood for a drift_dm Object

In dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

Extract Log-Likelihood for a drift_dm Object

Description

This method extracts the log-likelihood for a drift_dm object, ensuring data is available and evaluating the model if necessary.

Usage

## S3 method for class 'drift_dm'
logLik(object, ...)

Arguments

object	a drift_dm object containing observed data
...	additional arguments

Value

A logLik object containing the log-likelihood value for the drift_dm object. This value has attributes for the number of observations (nobs) and the number of model parameters (df).

Returns NULL if observed data is not available.

Examples

# get a pre-built model and a data set for demonstration purpose
# (when creating the model, set the discretization to reasonable values)
a_model <- dmc_dm(t_max = 1.5, dx = .0025, dt = .0025)
obs_data(a_model) <- dmc_synth_data

# calculate the log-likelihood
logLik(a_model)

dRiftDM documentation built on April 3, 2025, 7:48 p.m.