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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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conda 55.1 kB | noarch/r-plde-0.1.2-r43h142f84f_0.tar.bz2  1 year and 1 month ago 21 main
conda 55.2 kB | noarch/r-plde-0.1.2-r42h142f84f_0.tar.bz2  2 years and 7 months ago 49 main
conda 54.9 kB | noarch/r-plde-0.1.2-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 120 main

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