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lognorm: Functions for the Lognormal Distribution

The lognormal distribution (Limpert et al. (2001) <doi:10.1641/0006-3568(2001)051%5B0341:lndats%5D2.0.co;2>) can characterize uncertainty that is bounded by zero. This package provides estimation of distribution parameters, computation of moments and other basic statistics, and an approximation of the distribution of the sum of several correlated lognormally distributed variables (Lo 2013 <doi:10.12988/ams.2013.39511>) and the approximation of the difference of two correlated lognormally distributed variables (Lo 2012 <doi:10.1155/2012/838397>).

Version: 0.1.10
Imports: Matrix
Suggests: markdown, rmarkdown, testthat, knitr, dplyr, ggplot2, mvtnorm, purrr, tidyr
Published: 2021-11-21
DOI: 10.32614/CRAN.package.lognorm
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz at bgc-jena.mpg.de>
License: GPL-2
URL: https://github.com/bgctw/lognorm
NeedsCompilation: no
Materials: NEWS
CRAN checks: lognorm results

Documentation:

Reference manual: lognorm.pdf
Vignettes: Using the logitnorm package
Approximating the difference of two lognormal random variables
Approximating the sum of lognormal random variables

Downloads:

Package source: lognorm_0.1.10.tar.gz
Windows binaries: r-devel: lognorm_0.1.10.zip, r-release: lognorm_0.1.10.zip, r-oldrel: lognorm_0.1.10.zip
macOS binaries: r-release (arm64): lognorm_0.1.10.tgz, r-oldrel (arm64): lognorm_0.1.10.tgz, r-release (x86_64): lognorm_0.1.10.tgz, r-oldrel (x86_64): lognorm_0.1.10.tgz
Old sources: lognorm archive

Reverse dependencies:

Reverse suggests: REddyProc

Linking:

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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.