Function reference • univariateML

Maximum likelihood estimators
`mlbeta()`	Beta distribution maximum likelihood estimation
`mlbetapr()`	Beta prime distribution maximum likelihood estimation
`mlcauchy()`	Cauchy distribution maximum likelihood estimation
`mlexp()`	Exponential distribution maximum likelihood estimation
`mlgamma()`	Gamma distribution maximum likelihood estimation
`mlgumbel()`	Gumbel distribution maximum likelihood estimation
`mlinvgamma()`	Inverse Gamma distribution maximum likelihood estimation
`mlinvgauss()`	Inverse Gaussian (Wald) maximum likelihood estimation
`mlinvweibull()`	Inverse Weibull distribution maximum likelihood estimation
`mlkumar()`	Kumaraswamy distribution maximum likelihood estimation
`mllaplace()`	Laplace distribution maximum likelihood estimation
`mllgamma()`	Log-gamma distribution maximum likelihood estimation
`mlllogis()`	Log-logistic distribution maximum likelihood estimation
`mllnorm()`	Log-normal distribution maximum likelihood estimation
`mllogis()`	Logistic distribution maximum likelihood estimation
`mllogitnorm()`	Logit-Normal distribution maximum likelihood estimation
`mllomax()`	Lomax distribution maximum likelihood estimation
`mlnaka()`	Gamma distribution maximum likelihood estimation
`mlnorm()`	Normal distribution maximum likelihood estimation
`mlpareto()`	Pareto distribution maximum likelihood estimation
`mlpower()`	Power distribution maximum likelihood estimation
`mlrayleigh()`	Rayleigh distribution maximum likelihood estimation
`mlunif()`	Uniform distribution maximum likelihood estimation
`mlweibull()`	Weibull distribution maximum likelihood estimation
`ml_input_checker()`	Input Checker for ML functions
Data analysis aids
`bootstrapml()`	Parametric Bootstrap on Distributions Fitted with Maximum Likelihood
`confint(<univariateML>)`	Confidence Intervals for Maximum Likelihood Estimates
`ppmlplot()` `ppmlline()` `ppmlpoints()` `qqmlplot()` `qqmlline()` `qqmlpoints()`	Probability Plots Using Maximum Likelihood Estimates
`plot(<univariateML>)` `lines(<univariateML>)` `points(<univariateML>)`	Plot, Lines and Points Methods for Maximum Likelihood Estimates
`dml()` `pml()` `qml()` `rml()`	Maximum likelihood estimated distribution
Data sets
`abalone`	Abalone data
`egypt`	Mortality data from ancient Egypt
Package docs
`univariateML-package`	univariateML

Reference

Maximum likelihood estimators

Data analysis aids

Data sets

Package docs

Contents