Package: plde 0.1.2

JungJun Lee

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).

Authors:JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim, Ja-yong Koo

plde_0.1.2.tar.gz
plde_0.1.2.tar.gz(r-4.5-noble)plde_0.1.2.tar.gz(r-4.4-noble)
plde_0.1.2.tgz(r-4.4-emscripten)plde_0.1.2.tgz(r-4.3-emscripten)
plde.pdf |plde.html
plde/json (API)

# Install 'plde' in R:
install.packages('plde', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 106 downloads 12 exports 0 dependencies

Last updated 6 years agofrom:5d4a8a93ef. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linuxOKDec 01 2024

Exports:basic_valuescompute_fittedcompute_lambdasfit_pldefit_plde_sublegendre_polynomialmin_q_lambdamodel_selectionpldeq_lambdasoft_thresholdingupdate

Dependencies: