Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Gregor Sega [aut, cre] |
| Maintainer | Gregor Sega <gregor.sega@fmf.uni-lj.si> |
| License | GPL-2 |
| Version | 1.0.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mlelod package in your browser
Any scripts or data that you put into this service are public.
