calc_ic {dRiftDM} | R Documentation |
Calculate Information Criteria (AIC and BIC)
Description
Computes/Summarizes the Log-Likelihood, Akaike Information Criterion (AIC), and the Bayesian Information Criterion (BIC)
Usage
calc_ic(drift_dm_obj, ...)
Arguments
drift_dm_obj |
an object of type drift_dm |
... |
further arguments (only relevant: k, for the penality of stats::AIC) |
Details
The functions calls logLik.drift_dm, and subsequently stats::AIC and stats::BIC
Value
A custom object of class stats_dm
(c("fit_stats", "stats_dm", "data.frame")), containing a data frame with
columns:
-
Log_Like
: the input log-likelihood value -
AIC
: the calculated AIC value -
BIC
: the calculated BIC value
See Also
new_stats_dm()
, logLik.drift_dm
[Package dRiftDM version 0.2.1 Index]