R: Maximum Likelihood Estimation for Univariate Densities

# Maximum Likelihood Estimation for Univariate Densities

## Documentation for package ‘univariateML’ version 1.5.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

univariateML-package | univariateML
abalone | Abalone data
bootstrapml | Parametric Bootstrap on Distributions Fitted with Maximum Likelihood
confint.univariateML | Confidence Intervals for Maximum Likelihood Estimates
corbet | Frequencies of butterflies collected in Malaya
dml | Maximum likelihood estimated distribution
egypt | Mortality data from ancient Egypt
get_start | Returns appropriate starting value
inverse_digamma | Inverse digamma function
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
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 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
mlzip | Zero-inflated Poisson distribution maximum likelihood estimation
mlzipf | Zipf distribution maximum likelihood estimation
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_construct | Construct 'univariateML' object.
univariateML_metadata | Metadata for 'univariateML' models.
univariateML_models | Implemented models