| 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 |