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plde
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]
[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
Previous versions and publish date:
No previous versions
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Other R packages that plde depends,
imports, suggests or enhances
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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