plde: Penalized Log-Density Estimation Using Legendre Polynomials

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).

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Package details

AuthorJungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim, Ja-yong Koo
MaintainerJungJun Lee <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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plde documentation built on May 1, 2019, 7:46 p.m.