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plde  

Penalized Log-Density Estimation Using Legendre Polynomials
View on CRAN: Click here


Download and install plde package within the R console
Install from CRAN:
install.packages("plde")

Install from Github:
library("remotes")
install_github("cran/plde")

Install by package version:
library("remotes")
install_version("plde", "0.1.2")



Attach the package and use:
library("plde")
Maintained by
JungJun Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-01
Latest Update: 2018-07-01
Description:
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).
How to cite:
JungJun Lee (2018). plde: Penalized Log-Density Estimation Using Legendre Polynomials. R package version 0.1.2, https://cran.r-project.org/web/packages/plde. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:41), 0.1.2 (2018-07-01 15:30)
Other packages that cited plde R package
View plde citation profile
Other R packages that plde depends, imports, suggests or enhances
Complete documentation for plde
Functions, R codes and Examples using the plde R package
Some associated functions: basic_values . compute_fitted . compute_lambdas . fit_plde . fit_plde_sub . legendre_polynomial . min_q_lambda . model_selection . plde . q_lambda . soft_thresholding . update . 
Some associated R codes: PLDE.R .  Full plde package functions and examples
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