gammafit: Parameter estimation for the Gamma distribution
In mhsmm: Inference for Hidden Markov and Semi-Markov Models
View source: R/hsmm_functions.R
gammafit R Documentation
Parameter estimation for the Gamma distribution
Description
Estimates parameters for the Gamma distribution using the Method of Maximum Likelihood, works with weighted data.
Usage
gammafit(x, wt = NULL)
Arguments
x
A vector of observations
wt
Optional set of weights
Value
shape
The shape parameter
scale
The scale parameter (equal to 1/rate)
Author(s)
Jared O'Connell jaredoconnell@gmail.com
References
Choi, S. and Wette, R. (1969), Maximum likelihood estimation of the parameters of the gamma distribution and their bias, Technometrics, 11, 683-96-690.
Examples
gammafit(rgamma(1000,shape=10,scale=13))
mhsmm documentation built on Aug. 23, 2023, 9:06 a.m.
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View source: R/hsmm_functions.R
| gammafit | R Documentation |
Parameter estimation for the Gamma distribution
Description
Estimates parameters for the Gamma distribution using the Method of Maximum Likelihood, works with weighted data.
Usage
gammafit(x, wt = NULL)
Arguments
x |
A vector of observations |
wt |
Optional set of weights |
Value
shape |
The shape parameter |
scale |
The scale parameter (equal to 1/rate) |
Author(s)
Jared O'Connell jaredoconnell@gmail.com
References
Choi, S. and Wette, R. (1969), Maximum likelihood estimation of the parameters of the gamma distribution and their bias, Technometrics, 11, 683-96-690.
Examples
gammafit(rgamma(1000,shape=10,scale=13))
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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