dot-meanStd2Beta: Converts the mean and standard deviation of a (possibly...
In RGAP: Production Function Output Gap Estimation
.meanStd2Beta R Documentation
Converts the mean and standard deviation of a (possibly scaled) Beta-distributed variable
into the two shape parameters \alpha and \beta.
Description
Converts the mean and standard deviation of a (possibly scaled) Beta-distributed variable
into the two shape parameters \alpha and \beta.
Usage
.meanStd2Beta(m, std, lb = 0, ub = 1)
Arguments
m
mean parameter
std
standard deviation
lb
lower bound
ub
upper bound
Value
A vector with shape parameters \alpha and \beta.
RGAP documentation built on Nov. 2, 2023, 6:02 p.m.
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| .meanStd2Beta | R Documentation |
Converts the mean and standard deviation of a (possibly scaled) Beta-distributed variable
into the two shape parameters \alpha and \beta.
Description
Converts the mean and standard deviation of a (possibly scaled) Beta-distributed variable
into the two shape parameters \alpha and \beta.
Usage
.meanStd2Beta(m, std, lb = 0, ub = 1)
Arguments
m |
mean parameter |
std |
standard deviation |
lb |
lower bound |
ub |
upper bound |
Value
A vector with shape parameters \alpha and \beta.
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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