R: Functions for the Lognormal Distribution

# Functions for the Lognormal Distribution

## Documentation for package ‘lognorm’ version 0.1.10

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

computeEffectiveAutoCorr | Estimate vector of effective components of the autocorrelation
computeEffectiveNumObs | Compute the effective number of observations taking into account autocorrelation
estimateDiffLognormal | Inference on the difference of two lognormals
estimateParmsLognormFromSample | Estimate lognormal distribution parameters from a sample
estimateStdErrParms | Estimate lognormal distribution parameters from a sample
estimateSumLognormal | Estimate the parameters of the lognormal approximation to the sum
estimateSumLognormalSample | Estimate the parameters of the lognormal approximation to the sum
estimateSumLognormalSampleExpScale | Estimate the parameters of the lognormal approximation to the sum
getCorrMatFromAcf | Construct the full correlation matrix from autocorrelation components.
getLognormMedian | Compute summary statistics of a log-normal distribution
getLognormMode | Compute summary statistics of a log-normal distribution
getLognormMoments | Compute summary statistics of a log-normal distribution
getParmsLognormForExpval | Calculate mu and sigma of lognormal from summary statistics.
getParmsLognormForLowerAndUpper | Calculate mu and sigma of lognormal from summary statistics.
getParmsLognormForLowerAndUpperLog | Calculate mu and sigma of lognormal from summary statistics.
getParmsLognormForMeanAndUpper | Calculate mu and sigma of lognormal from summary statistics.
getParmsLognormForMedianAndUpper | Calculate mu and sigma of lognormal from summary statistics.
getParmsLognormForModeAndUpper | Calculate mu and sigma of lognormal from summary statistics.
getParmsLognormForMoments | Calculate mu and sigma of lognormal from summary statistics.
pDiffLognormalSample | Inference on the difference of two lognormals
scaleLogToOrig | Scale standard deviation between log and original scale.
scaleOrigToLog | Scale standard deviation between log and original scale.
seCor | Compute the standard error accounting for empirical autocorrelations
setMatrixOffDiagonals | set off-diagonal values of a matrix
varCor | Compute the unbiased variance accounting for empirical autocorrelations