ig.fit: Fitting the Inverse Gaussian distribution to data

In goft: Tests of Fit for some Probability Distributions

Description

Maximum likelihood estimators for the Inverse Gaussian distribution based on a random sample.

Usage

ig_fit(x)

Arguments

x	a numeric data vector containing a random sample of positive real numbers.

Value

Parameter estimates.

Author(s)

Elizabeth Gonzalez-Estrada [e-mail], Jose A. Villasenor-Alva

See Also

ig_test for testing the Inverse Gaussian distribution hypothesis.

Examples

x <-  rgamma(50, 10)   # simulating a random sample from the gamma distribution 
ig_fit(x)              # fitting an inverse Gaussian distribution to x                        

Example output

Loading required package: fitdistrplus
Loading required package: MASS
Loading required package: survival
Loading required package: npsurv
Loading required package: lsei
       Inverse Gaussian MLE 
mu                  10.03083
lambda              76.01015

goft documentation built on July 1, 2020, 5:56 p.m.