gagen: Gamma Generator
In amoloudi/R-PKG-Distributions: Distributions
Description
Usage
Arguments
Details
Value
Note
Author(s)
References
See Also
Examples
Description
The gamma distribution is a two-parameter family of continuous probability distributions. The exponential distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution.
Usage
1
gagen(k, landa)
Arguments
k, landa
k as number of exponential variables and landa as the exponential rate parameter of those variables.
Details
A gamma randome variable with parametes k,<ce><bb> is a random variable generated from summation of k exponential random varible with <ce><bb> as their exponential rate parameter.
Value
A random variable from Gamma distribution with parameters k,<ce><bb>.
Note
-
Author(s)
P.Tayefeh Morsal
References
www.wikipedia.org
See Also
gagen.R
Examples
1
gagen(100, 2.5)
amoloudi/R-PKG-Distributions documentation built on May 23, 2019, 7:32 a.m.
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Description Usage Arguments Details Value Note Author(s) References See Also Examples
Description
The gamma distribution is a two-parameter family of continuous probability distributions. The exponential distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution.
Usage
1 | gagen(k, landa)
|
Arguments
k, landa |
k as number of exponential variables and landa as the exponential rate parameter of those variables. |
Details
A gamma randome variable with parametes k,<ce><bb> is a random variable generated from summation of k exponential random varible with <ce><bb> as their exponential rate parameter.
Value
A random variable from Gamma distribution with parameters k,<ce><bb>.
Note
-
Author(s)
P.Tayefeh Morsal
References
www.wikipedia.org
See Also
gagen.R
Examples
1 | gagen(100, 2.5)
|
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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