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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).

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 plde_0.1.2.tar.gz 42.0 KiB
0.1.2 rolling linux/noble R-4.5 plde_0.1.2.tar.gz 41.9 KiB
0.1.2 rolling source/ R- plde_0.1.2.tar.gz 6.1 KiB
0.1.2 latest linux/jammy R-4.5 plde_0.1.2.tar.gz 42.0 KiB
0.1.2 latest linux/noble R-4.5 plde_0.1.2.tar.gz 41.9 KiB
0.1.2 latest source/ R- plde_0.1.2.tar.gz 6.1 KiB
0.1.2 2026-04-26 source/ R- plde_0.1.2.tar.gz 6.1 KiB
0.1.2 2026-04-23 source/ R- plde_0.1.2.tar.gz 6.1 KiB
0.1.2 2026-04-09 windows/windows R-4.5 plde_0.1.2.zip 44.6 KiB
0.1.2 2025-04-20 source/ R- plde_0.1.2.tar.gz 6.1 KiB