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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.

Versions across snapshots

VersionRepositoryFileSize
0.1 rolling linux/jammy R-4.5 spedecon_0.1.tar.gz 47.3 KiB
0.1 rolling linux/noble R-4.5 spedecon_0.1.tar.gz 47.2 KiB
0.1 rolling source/ R- spedecon_0.1.tar.gz 9.3 KiB
0.1 latest linux/jammy R-4.5 spedecon_0.1.tar.gz 47.3 KiB
0.1 latest linux/noble R-4.5 spedecon_0.1.tar.gz 47.2 KiB
0.1 latest source/ R- spedecon_0.1.tar.gz 9.3 KiB
0.1 2026-04-26 source/ R- spedecon_0.1.tar.gz 9.3 KiB
0.1 2026-04-23 source/ R- spedecon_0.1.tar.gz 9.3 KiB
0.1 2026-04-09 windows/windows R-4.5 spedecon_0.1.zip 50.1 KiB
0.1 2025-04-20 source/ R- spedecon_0.1.tar.gz 9.3 KiB

Dependencies (latest)

Imports