lognorm-package: lognorm: Functions for the Lognormal Distribution

In lognorm: Functions for the Lognormal Distribution

Description

The lognormal distribution (Limpert et al. (2001) <doi:10.1641/0006-3568(2001)051 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>).

Details

Essential functions are

• Compute summary statistics: getLognormMoments

• computing distribution parameters from summary statistics: getParmsLognormForModeAndUpper

• estimate distribution parameters from summary sample: estimateParmsLognormFromSample

• Approximate the sum of correlated lognormals: estimateSumLognormalSample

• Approximate the difference of two correlated lognormals: estimateDiffLognormal

Utilities for correlated data. These functions maybe moved to a separate package in future.

• Estimate summary statistics of autocorrelated data

  • standard error of the mean: seCor

  • effective number of observations computeEffectiveNumObs

  • variance: varCor

• Return the vector of effective components of the autocorrelation: computeEffectiveAutoCorr

Otherwise refer to the vignettes

See Also

Useful links:

• https://github.com/bgctw/lognorm

lognorm documentation built on Nov. 22, 2021, 1:07 a.m.