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... |
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