logist_mle: Fitting the Logistic distribution with MLE
In NVE/fitdistrib: A list a functions to fit data to probability distributions
Description
Usage
Arguments
Value
Examples
Description
Function to fit the Logistic distribution with the maximum likelihood method.
This function was copied from Kolbjorn's initial file
Usage
1
2
3
Arguments
...
Value
param Estimated parameters and standard error returned as a list($estimate, $se)
Standard error is not yet implemented
Examples
1
2
3
library(FlomKartShinyApp)
estimate = logist_mle(test_data)
FlomKartShinyApp::plot4server(test_data, param = estimate$estimate, distr = 4)
NVE/fitdistrib documentation built on May 7, 2019, 6:04 p.m.
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Description Usage Arguments Value Examples
Description
Function to fit the Logistic distribution with the maximum likelihood method. This function was copied from Kolbjorn's initial file
Usage
1 2 3 |
Arguments
... |
Value
param Estimated parameters and standard error returned as a list($estimate, $se) Standard error is not yet implemented
Examples
1 2 3 | library(FlomKartShinyApp)
estimate = logist_mle(test_data)
FlomKartShinyApp::plot4server(test_data, param = estimate$estimate, distr = 4)
|
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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