pmledecon
Deconvolution Density Estimation using Penalized MLE
Given a sample with additive measurement error, the package estimates the deconvolution density - that is, the density of the underlying distribution of the sample without measurement error. The method maximises the log-likelihood of the estimated density, plus a quadratic smoothness penalty. The distribution of the measurement error can be either a known family, or can be estimated from a "pure error" sample. For known error distributions, the package supports Normal, Laplace or Beta distributed error. For unknown error distribution, a pure error sample independent from the data is used.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | pmledecon_0.2.1.tar.gz |
40.1 KiB |
0.2.1 |
rolling linux/noble R-4.5 | pmledecon_0.2.1.tar.gz |
40.1 KiB |
0.2.1 |
rolling source/ R- | pmledecon_0.2.1.tar.gz |
6.6 KiB |
0.2.1 |
latest linux/jammy R-4.5 | pmledecon_0.2.1.tar.gz |
40.1 KiB |
0.2.1 |
latest linux/noble R-4.5 | pmledecon_0.2.1.tar.gz |
40.1 KiB |
0.2.1 |
latest source/ R- | pmledecon_0.2.1.tar.gz |
6.6 KiB |
0.2.1 |
2026-04-26 source/ R- | pmledecon_0.2.1.tar.gz |
6.6 KiB |
0.2.1 |
2026-04-23 source/ R- | pmledecon_0.2.1.tar.gz |
6.6 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | pmledecon_0.2.1.zip |
42.6 KiB |
0.2.1 |
2025-04-20 source/ R- | pmledecon_0.2.1.tar.gz |
6.6 KiB |