dloggamma: Density of Log Gamma Distribution
In joemckean/mathstat: Introduction to Mathematical Statistics R Package
Description
Usage
Arguments
Details
Value
References
Examples
Description
this function calculates density of log gamma distribution.
Usage
1
Arguments
x
a numeric Vector. All components are greater than 1.
alpha
a positive non-zero number corresponds to the shape.
beta
a positive non-zero number corresponds to the rate.
Details
f(x) = (1/(gamma(alpha)*beta^alpha))x^(-(1+beta)/beta)(log x)^(alpha-1)
Value
The density of the log gamma distribution
References
Hogg, R. McKean, J. Craig, A (2018) Introduction to
Mathematical Statistics, 8th Ed. Boston: Pearson
Examples
1
dloggamma(5, 1, 1)
joemckean/mathstat documentation built on May 30, 2019, 2:01 p.m.
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Description Usage Arguments Details Value References Examples
Description
this function calculates density of log gamma distribution.
Usage
1 |
Arguments
x |
a numeric Vector. All components are greater than 1. |
alpha |
a positive non-zero number corresponds to the shape. |
beta |
a positive non-zero number corresponds to the rate. |
Details
f(x) = (1/(gamma(alpha)*beta^alpha))x^(-(1+beta)/beta)(log x)^(alpha-1)
Value
The density of the log gamma distribution
References
Hogg, R. McKean, J. Craig, A (2018) Introduction to Mathematical Statistics, 8th Ed. Boston: Pearson
Examples
1 | dloggamma(5, 1, 1)
|
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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