| abalone | Abalone data |
| bootstrapml | Parametric Bootstrap on Distributions Fitted with Maximum... |
| confint.univariateML | Confidence Intervals for Maximum Likelihood Estimates |
| corbet | Frequencies of butterflies collected in Malaya |
| decorator | Decorate estimator |
| egypt | Mortality data from ancient Egypt |
| get_start | Returns appropriate starting value |
| inverse_digamma | Inverse digamma function |
| listmerge | Merges two lists. |
| MaximumLikelihoodDistribution | Maximum likelihood estimated distribution |
| mlbeta | Beta distribution maximum likelihood estimation |
| mlbetapr | Beta prime distribution maximum likelihood estimation |
| mlbinom | Binomial distribution maximum likelihood estimation |
| mlburr | Burr distribution maximum likelihood estimation |
| mlcauchy | Cauchy distribution maximum likelihood estimation |
| mldunif | Discrete uniform distribution maximum likelihood estimation |
| mlexp | Exponential distribution maximum likelihood estimation |
| mlfatigue | Gamma distribution maximum likelihood estimation |
| mlgamma | Gamma distribution maximum likelihood estimation |
| mlged | Generalized Error distribution maximum likelihood estimation |
| mlgeom | Geometric distribution maximum likelihood estimation |
| mlgompertz | Gompertz distribution maximum likelihood estimation |
| mlgumbel | Gumbel distribution maximum likelihood estimation |
| mlinvburr | Inverse Burr 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 |
| mllgser | Logarithmic series 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 |
| mlnbinom | Negative binomial distribution maximum likelihood estimation |
| mlnorm | Normal distribution maximum likelihood estimation |
| mlparalogis | Paralogistic distribution maximum likelihood estimation |
| mlpareto | Pareto distribution maximum likelihood estimation |
| mlpois | Poisson distribution maximum likelihood estimation |
| mlpower | Power distribution maximum likelihood estimation |
| mlrayleigh | Rayleigh distribution maximum likelihood estimation |
| mlsged | Skew Generalized Error distribution maximum likelihood... |
| 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 |
| mlzip | Zero-inflated Poisson distribution maximum likelihood... |
| mlzipf | Zipf distribution maximum likelihood estimation |
| model_select | Fit multiple models and select the best fit |
| newton_raphson_1d | One-dimensional Newton-Raphson |
| plot.univariateML | Plot, Lines and Points Methods for Maximum Likelihood... |
| plot_wrangler | Wrangles arguments for use in the plot, lines and points... |
| ppqq_wrangler | Wrangles arguments for use in ppml and qqml functions. |
| ProbabilityPlots | Probability Plots Using Maximum Likelihood Estimates |
| simulate_default | Simulate 'n' observations from a ml*** string using default... |
| to_univariateML | Data and function to 'univariateML' |
| univariateML_construct | Construct 'univariateML' object. |
| univariateML_metadata | Metadata for 'univariateML' models. |
| univariateML_models | Implemented models |
| univariateML-package | univariateML |
| univariateML_to_function | Transform a univariateML object to a quantile, CDF, density... |
| univariateML_to_string | Transform a univariateML object to a string specifying... |
