applyGamma: Apply Gamma distribution to sample and compute required...
In gofedf: Goodness of Fit Tests Based on Empirical Distribution Functions
applyGamma R Documentation
Apply Gamma distribution to sample and compute required components for the test.
Description
Compute Maximum likelihood estimates of the parameters in Gamma distribution, Score function evaluated at the sample,
and probability inverse transformed (PIT) values of sample.
Usage
applyGamma(x, use.rate)
Arguments
x
a numeric vector.
use.rate
logical. If TRUE the rate parameter is returned while estimating MLE. Otherwise the scale is returned.
Value
a list with three elements.
gofedf documentation built on Oct. 1, 2023, 5:08 p.m.
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| applyGamma | R Documentation |
Apply Gamma distribution to sample and compute required components for the test.
Description
Compute Maximum likelihood estimates of the parameters in Gamma distribution, Score function evaluated at the sample, and probability inverse transformed (PIT) values of sample.
Usage
applyGamma(x, use.rate)
Arguments
x |
a numeric vector. |
use.rate |
logical. If |
Value
a list with three elements.
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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