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We present a penalized logdensity estimation method using Legendre polynomials with lasso penalty to adjust estimate's smoothness. Reexpressing the logarithm of the density estimator via a linear combination of Legendre polynomials, we can estimate parameters by maximizing the penalized loglikelihood function. Besides, we proposed an implementation strategy that builds on the coordinate decent algorithm, together with the Bayesian information criterion (BIC).
Package details 


Author  JungJun Lee, JaeHwan Jhong, YoungRae Cho, SungHwan Kim, Jayong Koo 
Maintainer  JungJun Lee <[email protected]> 
License  GPL (>= 2) 
Version  0.1.2 
Package repository  View on CRAN 
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