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
| Version | Repository | File | Size |
|---|---|---|---|
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 |