Package: mlelod 1.0.0.1
mlelod: MLE for Normally Distributed Data Censored by Limit of Detection
Values below the limit of detection (LOD) are a problem in several fields of science, and there are numerous approaches for replacing the missing data. We present a new mathematical solution for maximum likelihood estimation that allows us to estimate the true values of the mean and standard deviation for normal distributions and is significantly faster than previous implementations. The article with the details was submitted to JSS and can be currently seen on <https://www2.arnes.si/~tverbo/LOD/Verbovsek_Sega_2_Manuscript.pdf>.
Authors:
mlelod_1.0.0.1.tar.gz
mlelod_1.0.0.1.zip(r-4.7)mlelod_1.0.0.1.zip(r-4.6)mlelod_1.0.0.1.zip(r-4.5)
mlelod_1.0.0.1.tgz(r-4.6-any)mlelod_1.0.0.1.tgz(r-4.5-any)
mlelod_1.0.0.1.tar.gz(r-4.7-any)mlelod_1.0.0.1.tar.gz(r-4.6-any)
mlelod_1.0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlelod/json (API)
| # Install 'mlelod' in R: |
| install.packages('mlelod', repos = c('https://gregorsega.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:25b97f1cb8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 98 | ||
| source / vignettes | OK | 122 | ||
| linux-release-x86_64 | OK | 113 | ||
| macos-release-arm64 | OK | 199 | ||
| macos-oldrel-arm64 | OK | 147 | ||
| windows-devel | OK | 54 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 50 | ||
| wasm-release | OK | 81 |
Exports:mlelod
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| MLE for Normally Distributed Data Censored by Limit of Detection | mlelod-package |
| Estimates the parameters of the normal distribution. | mlelod |
