eep_optim: The Wrapper Function that Returns the Final Estimates from Maximum Likelihood Estimation for EEP.
Description
This function serves as a wrapper that returns the final estimates of theta, eta, and the corresponding density change point
Usage
eep_optim(data, init = c(1, 1), lower_bound = c(0.01, 0.01))
Value
A data frame with 1 row and 3 columns that contains the MLE of theta, eta, and the predicted density change point.
Arguments
- data
Observations.
- init
The vector of initial values of the model parameters. The default is c(1,1).
- lower_bound
The vector of the lower bound for the parameters. The default is c(0.01,0.01).