inversegaussianMLE: Compute the maximum likelihood estimate of parameters in...
In gofedf: Goodness of Fit Tests Based on Empirical Distribution Functions
View source: R/utils_testYourModel.R
inversegaussianMLE R Documentation
Compute the maximum likelihood estimate of parameters in Inverse Gaussian distribution with weighted observations.
Description
This function is used in testYourModel function for example purposes.
Usage
inversegaussianMLE(obs, ...)
Arguments
obs
a numeric vector of sample observations.
...
a list of additional parameters to define the likelihood.
Value
The function compute the MLE of parameters in Inverse Gaussian distribution and returns a vector of
estimates. The first and second elements of the vector are MLE of the mean and shape, respectively.
gofedf documentation built on Oct. 1, 2023, 5:08 p.m.
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View source: R/utils_testYourModel.R
| inversegaussianMLE | R Documentation |
Compute the maximum likelihood estimate of parameters in Inverse Gaussian distribution with weighted observations.
Description
This function is used in testYourModel function for example purposes.
Usage
inversegaussianMLE(obs, ...)
Arguments
obs |
a numeric vector of sample observations. |
... |
a list of additional parameters to define the likelihood. |
Value
The function compute the MLE of parameters in Inverse Gaussian distribution and returns a vector of estimates. The first and second elements of the vector are MLE of the mean and shape, respectively.
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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