univariateML_models: Implemented models
In univariateML: Maximum Likelihood Estimation for Univariate Densities
Description
Usage
Format
Examples
Description
Implemented models
Usage
1
Format
An object of class character of length 29.
Examples
1
Example output
[1] "beta" "betapr" "cauchy" "exp" "gamma"
[6] "ged" "gumbel" "invgamma" "invgauss" "invweibull"
[11] "kumar" "laplace" "lgamma" "llogis" "lnorm"
[16] "logis" "logitnorm" "lomax" "naka" "norm"
[21] "pareto" "power" "rayleigh" "sged" "snorm"
[26] "sstd" "std" "unif" "weibull"
univariateML documentation built on Jan. 25, 2022, 5:09 p.m.
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Description Usage Format Examples
Description
Implemented models
Usage
1 |
Format
An object of class character of length 29.
Examples
1 |
Example output
[1] "beta" "betapr" "cauchy" "exp" "gamma"
[6] "ged" "gumbel" "invgamma" "invgauss" "invweibull"
[11] "kumar" "laplace" "lgamma" "llogis" "lnorm"
[16] "logis" "logitnorm" "lomax" "naka" "norm"
[21] "pareto" "power" "rayleigh" "sged" "snorm"
[26] "sstd" "std" "unif" "weibull"
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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