The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | stats, splitstackshape, rmutil |
| Published: | 2022-05-30 |
| Author: | Yun Cai [aut, cre], Hong Gu [aut], Tobias Kenney [aut] |
| Maintainer: | Yun Cai <Yun.Cai at dal.ca> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | pmledecon results |
| Reference manual: | pmledecon.pdf |
| Package source: | pmledecon_0.2.1.tar.gz |
| Windows binaries: | r-devel: pmledecon_0.2.1.zip, r-release: pmledecon_0.2.1.zip, r-oldrel: pmledecon_0.2.1.zip |
| macOS binaries: | r-release (arm64): pmledecon_0.2.1.tgz, r-oldrel (arm64): pmledecon_0.2.1.tgz, r-release (x86_64): pmledecon_0.2.1.tgz, r-oldrel (x86_64): pmledecon_0.2.1.tgz |
| Old sources: | pmledecon archive |
| Reverse imports: | DBNMFrank |
Please use the canonical form https://CRAN.R-project.org/package=pmledecon to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.