Fitting Distributions to Given Data or Known Quantiles


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Documentation for package ‘rriskDistributions’ version 2.1.2

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rriskDistributions-package Fitting distributions to given data or known quantiles
fit.cont GUI for fitting continuous distributions to given data
fit.perc Choosing distribution by given quantiles
get.beta.par Fitting parameters of a Beta distribution from two or more quantiles
get.cauchy.par Fitting parameters of a Cauchy distribution from two or more quantiles
get.chisq.par Fitting parameter of a chi-square distribution from one or more quantiles
get.chisqnc.par Fitting parameters of a non-central chi-square distribution from one or more quantiles
get.exp.par Fitting parameters of an exponential distribution from one or more quantiles
get.f.par Fitting parameters of a F distribution from two or more quantiles
get.gamma.par Fitting parameters of a gamma distribution from two or more quantiles
get.gompertz.par Fitting parameters of a Gompertz distribution from two or more quantiles
get.hyper.par Fitting parameters of a hypergeometric distribution from three or more quantiles
get.lnorm.par Fitting parameters of a lognormal distribution from two or more quantiles
get.logis.par Fitting parameters of a logistic distribution from two or more quantiles
get.nbinom.par Fitting parameters of a negative binomial distribution from two or more quantiles
get.norm.par Fitting parameters of normal distribution from two or more quantiles
get.norm.sd Fitting standard deviation of a normal distribution from one or more quantiles and known mean
get.pert.par Fitting parameters of a pert distribution from four or more quantiles
get.pois.par Fitting parameter of Poisson distribution from one or more quantiles
get.t.par Fitting parameter of a Student's t distribution from one or more quantiles
get.tnorm.par Fitting parameters of truncated normal distribution from four or more quantiles
get.triang.par Fitting parameters of a triangular distribution from three or more quantiles
get.unif.par Fitting parameters of a uniform distribution from two or more quantiles
get.weibull.par Fitting parameters of a Weibull distribution from two or more quantiles
plotDiagnostics.perc Graphical tools for choosing distribution by given quantiles
rriskDistributions Fitting distributions to given data or known quantiles
rriskFitdist.cont Fitting univariate distributions by maximum likelihood or by matching moments
rriskFitdist.perc Fitting an amount of distribution families by given quantiles
rriskMLEdist Maximum likelihood fitting of univariate distributions
rriskMMEdist Fitting univariate distributions by matching moments
useFitdist Fitting amount continuous distributions to given univariate data.