dot-meanStd2GammasNu: Converts the mean and standard deviation of a...
In RGAP: Production Function Output Gap Estimation
.meanStd2GammasNu R Documentation
Converts the mean and standard deviation of a Gamma-distributed variable into the
parameters s and \nu.
Description
Converts the mean and standard deviation of a Gamma-distributed variable into the
parameters s and \nu.
Usage
.meanStd2GammasNu(m, std)
Arguments
m
mean parameter
std
standard deviation
Details
The parameters s and nu are related to the regular shape
\alpha and rate \beta parametrization in the following way:
\alpha = \nu / 2
\beta = s / 2
Value
A vector with parameters s and \nu.
RGAP documentation built on Nov. 2, 2023, 6:02 p.m.
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| .meanStd2GammasNu | R Documentation |
Converts the mean and standard deviation of a Gamma-distributed variable into the
parameters s and \nu.
Description
Converts the mean and standard deviation of a Gamma-distributed variable into the
parameters s and \nu.
Usage
.meanStd2GammasNu(m, std)
Arguments
m |
mean parameter |
std |
standard deviation |
Details
The parameters s and nu are related to the regular shape
\alpha and rate \beta parametrization in the following way:
\alpha = \nu / 2
\beta = s / 2
Value
A vector with parameters s and \nu.
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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