Package: spedecon 0.1

spedecon: Smoothness-Penalized Deconvolution for Density Estimation Under Measurement Error

Implements the Smoothness-Penalized Deconvolution method for estimating a probability density under measurement error of Kent and Ruppert (2023) <doi:10.1080/01621459.2023.2259028>. The estimator is formed by computing a histogram of the error-contaminated data, and then finding an estimate that minimizes a reconstruction error plus a smoothness-inducing penalty term. The primary function, sped(), takes the data and error distribution, and returns the estimator as a function.

Authors:David Kent [aut, cre]

spedecon_0.1.tar.gz
spedecon_0.1.zip(r-4.5)spedecon_0.1.zip(r-4.4)spedecon_0.1.zip(r-4.3)
spedecon_0.1.tgz(r-4.4-any)spedecon_0.1.tgz(r-4.3-any)
spedecon_0.1.tar.gz(r-4.5-noble)spedecon_0.1.tar.gz(r-4.4-noble)
spedecon_0.1.tgz(r-4.4-emscripten)spedecon_0.1.tgz(r-4.3-emscripten)
spedecon.pdf |spedecon.html✨
spedecon/json (API)

Peer review:

On CRAN:

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

6 exports 0.09 score 1 dependencies 303 downloads

Last updated 8 months agofrom:50a088235b. Checks:OK: 7. Indexed: yes.

Exports:compute_ephemeragaussian_gtwidlaplace_gtwidnew_spedecon_gtwidspeduniform_gtwid

Dependencies:quadprog