gl_mle: Fitting the GL distribution with MLE

In NVE/fitdistrib: A list a functions to fit data to probability distributions

Description

Function to fit the GL distribution with the maximum likelihood method. This function was copied from Kolbjorn's initial file

Usage

gl_mle(xdat, ydat = NULL, mul = NULL, sigl = NULL, shl = NULL,
  mulink = identity, siglink = identity, shlink = identity,
  muinit = NULL, siginit = NULL, shinit = NULL, show = FALSE,
  method = "Nelder-Mead", maxit = 10000, ...)

Arguments

...

Value

param Estimated parameters and standard error returned as a list($estimate, $se) Standard error is not yet implemented

Examples

library(FlomKartShinyApp)
estimate = gl_mle(test_data)
FlomKartShinyApp::plot4server(test_data, param = estimate$estimate, distr = 4)

NVE/fitdistrib documentation built on May 7, 2019, 6:04 p.m.