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)
#> 'log Lik.' 137.1521 (df=7)