{ "_id": "6a16bd83acfb0bcc41d87481", "Package": "lognorm", "Title": "Functions for the Lognormal Distribution", "Version": "0.1.9", "Author": "Thomas Wutzler", "Maintainer": "Thomas Wutzler ", "Description": "The lognormal distribution (Limpert et al. (2001)\n) can\ncharacterize uncertainty that is bounded by zero. This package\nprovides estimation of distribution parameters, computation of\nmoments and other basic statistics, and an approximation of the\ndistribution of the sum of several correlated lognormally\ndistributed variables (Lo 2013 )\nand the approximation of the difference of two correlated\nlognormally distributed variables (Lo 2012\n).", "VignetteBuilder": "knitr", "License": "GPL-2", "RoxygenNote": "7.1.1", "URL": "https://github.com/bgctw/lognorm", "Encoding": "UTF-8", "Repository": "https://bgctw.r-universe.dev", "Date/Publication": "2021-03-10 18:26:55 UTC", "RemoteUrl": "https://github.com/bgctw/lognorm", "RemoteRef": "HEAD", "RemoteSha": "9cc622e5e33eb1313c33bea80e55470040111d3b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 09:43:53 UTC", "User": "root" }, "MD5sum": "bc3ea7955cf59ed5feb7ecfccf04362d", "_user": "bgctw", "_type": "src", "_file": "lognorm_0.1.9.tar.gz", "_fileid": "2519b4b912a211a9e202002ea3b2ba4ef27f8349ba81026fee0900237400278d", "_filesize": 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"setMatrixOffDiagonals", "varCor" ], "_help": [ { "page": "computeEffectiveAutoCorr", "title": "Estimate vector of effective components of the autocorrelation", "topics": [ "computeEffectiveAutoCorr" ] }, { "page": "computeEffectiveNumObs", "title": "Compute the effective number of observations taking into account autocorrelation", "topics": [ "computeEffectiveNumObs" ] }, { "page": "estimateDiffLognormal", "title": "Inference on the difference of two lognormals", "topics": [ "estimateDiffLognormal", "pDiffLognormalSample" ] }, { "page": "estimateParmsLognormFromSample", "title": "Estimate lognormal distribution parameters from a sample", "topics": [ "estimateParmsLognormFromSample", "estimateStdErrParms" ] }, { "page": "estimateSumLognormalSample", "title": "Estimate the parameters of the lognormal approximation to the sum", "topics": [ "estimateSumLognormal", "estimateSumLognormalSample", "estimateSumLognormalSampleExpScale" ] }, { "page": "getCorrMatFromAcf", "title": "Construct the full correlation matrix from autocorrelation components.", "topics": [ "getCorrMatFromAcf" ] }, { "page": "getLognormMoments", "title": "Compute summary statistics of a log-normal distribution", "topics": [ "getLognormMedian", "getLognormMode", "getLognormMoments" ] }, { "page": "getParmsLognormForModeAndUpper", "title": "Calculate mu and sigma of lognormal from summary statistics.", "topics": [ "getParmsLognormForExpval", "getParmsLognormForLowerAndUpper", "getParmsLognormForLowerAndUpperLog", "getParmsLognormForMeanAndUpper", "getParmsLognormForMedianAndUpper", "getParmsLognormForModeAndUpper", "getParmsLognormForMoments" ] }, { "page": "scaleLogToOrig", "title": "Scale standard deviation between log and original scale.", "topics": [ "scaleLogToOrig", "scaleOrigToLog" ] }, { "page": "seCor", "title": "Compute the standard error accounting for empirical autocorrelations", "topics": [ "seCor" ] }, { "page": "setMatrixOffDiagonals", "title": "set off-diagonal values of a matrix", "topics": [ "setMatrixOffDiagonals" ] }, { "page": "varCor", "title": "Compute the unbiased variance accounting for empirical autocorrelations", "topics": [ "varCor" ] } ], "_readme": "https://github.com/bgctw/lognorm/raw/HEAD/README.md", "_rundeps": [ "lattice", "Matrix" ], "_vignettes": [ { "source": "lognormalDiff.Rmd", "filename": "lognormalDiff.html", "title": "Approximating the difference of two lognormal random variables", "engine": "knitr::rmarkdown", "headings": [ "Approximating the difference of lognormal random variables", "Two uncorrelated random variables", "Test if difference is significantly different from zero", "Two positively correlated variables", "Subtracting a variable with larger variance" ], "created": "2020-06-30 17:07:05", "modified": "2021-03-10 18:26:55", "commits": 6 }, { "source": "lognormalSum.Rmd", "filename": "lognormalSum.html", "title": "Approximating the sum of lognormal random variables", "engine": "knitr::rmarkdown", "headings": [ "Approximating the sum of lognormal random variables", "Two uncorrelated random variables", "Many correlated variables", "Generating observations and log-normally distributed random errors", "Estimating the correlation matrix and effective number of parameters", "Computing the mean and its standard deviation" ], "created": "2018-08-07 13:53:41", "modified": "2021-03-10 18:26:55", "commits": 9 }, { "source": "lognorm.Rmd", "filename": "lognorm.html", "title": "Using the lognorm package", "engine": "knitr::rmarkdown", "headings": [ "Distribution", "Shape by multiplicative standard deviation", "Density, distribution function, quantile function and random generation", "Expected value, Variance, Mode, and Median", "Parameter Estimation from moments" ], "created": "2018-08-07 13:53:41", "modified": "2021-03-10 18:26:55", "commits": 5 } ], "_score": 5.753583058892906, "_indexed": true, "_nocasepkg": "lognorm", "_universes": [ "bgctw" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.9", "date": 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