get_IC: Calculate AIC, HQIC and BIC
In uGMAR: Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models
View source: R/loglikelihood.R
get_IC R Documentation
Calculate AIC, HQIC and BIC
Description
get_IC calculates AIC, HQIC and BIC
Usage
get_IC(loglik, npars, obs)
Arguments
loglik
log-likelihood value
npars
the number of (freely estimated) parameters in the model.
obs
the number of observations with initial values excluded for conditional models.
Value
Returns a data frame containing the information criteria values.
uGMAR documentation built on April 11, 2025, 5:50 p.m.
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View source: R/loglikelihood.R
| get_IC | R Documentation |
Calculate AIC, HQIC and BIC
Description
get_IC calculates AIC, HQIC and BIC
Usage
get_IC(loglik, npars, obs)
Arguments
loglik |
log-likelihood value |
npars |
the number of (freely estimated) parameters in the model. |
obs |
the number of observations with initial values excluded for conditional models. |
Value
Returns a data frame containing the information criteria values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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