model_selection {plde} | R Documentation |
Optimal model selection
Description
model_selection
function gives the optimal model over the whole
plde fits based on information criterian (AIC, BIC).
The optimal model is saved at fit$optimal
.
Usage
model_selection(fit, method = "AIC")
Arguments
fit |
Entire list of plde fit by all tuning parameters |
method |
model selection criteria. 'AIC' or 'BIC' is used. Default is 'AIC'. |
Author(s)
JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim, Ja-yong Koo
References
JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim and Ja-Yong Koo. "Penalized Log-density Estimation Using Legendre Polynomials." Submitted to Communications in Statistics - Simulation and Computation (2017), in revision.
[Package plde version 0.1.2 Index]