Functions for the Lognormal Distribution
Estimate vector of effective components of the autocorrelation
Compute the effective number of observations taking into account autoc...
remove NA values at the start and end
Inference on the difference of two lognormals
Estimate lognormal distribution parameters from a sample
Estimate the parameters of the lognormal approximation to the sum
Construct the full correlation matrix from autocorrelation components.
Compute summary statistics of a log-normal distribution
Calculate mu and sigma of lognormal from summary statistics.
lognorm: Functions for the Lognormal Distribution
Scale standard deviation between log and original scale.
Compute the standard error accounting for empirical autocorrelations
set off-diagonal values of a matrix
Compute the unbiased variance accounting for empirical autocorrelation...
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>).