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:Gregor Sega [aut, cre]

mlelod_1.0.0.1.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 178 downloads 1 exports 0 dependencies

Last updated from:25b97f1cb8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK83
source / vignettesOK115
linux-releaseOK91
macos-releaseOK154
macos-oldrelOK182
windows-develOK51
windows-releaseOK52
windows-oldrelOK54
wasm-releaseOK116

Exports:mlelod

Dependencies: