| univariateML-package | univariateML | 
| abalone | Abalone data | 
| bootstrapml | Parametric Bootstrap on Distributions Fitted with Maximum Likelihood | 
| confint.univariateML | Confidence Intervals for Maximum Likelihood Estimates | 
| dml | Maximum likelihood estimated distribution | 
| egypt | Mortality data from ancient Egypt | 
| lines.univariateML | Plot, Lines and Points Methods for Maximum Likelihood Estimates | 
| MaximumLikelihoodDistribution | Maximum likelihood estimated distribution | 
| 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 | 
| mlged | Generalized Error 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 | Nakagami 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 | 
| mlsged | Skew Generalized Error distribution maximum likelihood estimation | 
| mlsnorm | Skew Normal distribution maximum likelihood estimation | 
| mlsstd | Skew Student t-distribution maximum likelihood estimation | 
| mlstd | Student-t distribution maximum likelihood estimation | 
| mlunif | Uniform distribution maximum likelihood estimation | 
| mlweibull | Weibull distribution maximum likelihood estimation | 
| ml_input_checker | Input Checker for ML functions | 
| model_select | Fit multiple models and select the best fit | 
| plot.univariateML | Plot, Lines and Points Methods for Maximum Likelihood Estimates | 
| pml | Maximum likelihood estimated distribution | 
| points.univariateML | Plot, Lines and Points Methods for Maximum Likelihood Estimates | 
| ppmlline | Probability Plots Using Maximum Likelihood Estimates | 
| ppmlplot | Probability Plots Using Maximum Likelihood Estimates | 
| ppmlpoints | Probability Plots Using Maximum Likelihood Estimates | 
| ProbabilityPlots | Probability Plots Using Maximum Likelihood Estimates | 
| qml | Maximum likelihood estimated distribution | 
| qqmlline | Probability Plots Using Maximum Likelihood Estimates | 
| qqmlplot | Probability Plots Using Maximum Likelihood Estimates | 
| qqmlpoints | Probability Plots Using Maximum Likelihood Estimates | 
| rml | Maximum likelihood estimated distribution | 
| univariateML | univariateML | 
| univariateML_models | Implemented models |