Package: plde
Type: Package
Title: Penalized Log-Density Estimation Using Legendre Polynomials
Version: 0.1.2
Date: 2018-05-31
Author: JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim, Ja-yong Koo
Maintainer: JungJun Lee <ljjoj@korea.ac.kr>
Description: We present a penalized log-density estimation method using Legendre polynomials with lasso penalty to adjust estimate's smoothness. Re-expressing the logarithm of the density estimator via a linear combination of Legendre polynomials, we can estimate parameters by maximizing the penalized log-likelihood function. Besides, we proposed an implementation strategy that builds on the coordinate decent algorithm, together with the Bayesian information criterion (BIC).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-06-26 02:01:15 UTC; jjlee
Repository: CRAN
Date/Publication: 2018-07-01 13:30:23 UTC
Built: R 4.6.0; ; 2026-04-25 21:11:49 UTC; unix
