dot-intervalIGamma: Computes confidence interval of Inverse Gamma distributed...
In RGAP: Production Function Output Gap Estimation
.intervalIGamma R Documentation
Computes confidence interval of Inverse Gamma distributed variable with given mean and
standard deviation.
Description
Computes confidence interval of Inverse Gamma distributed variable with given mean and
standard deviation.
Usage
.intervalIGamma(mu, sd, qlower = 0.025, qupper = 1 - qlower)
Arguments
mu
A k x 1 vector of means.
sd
A k x 1 vector of standard deviations.
qlower
A k x 1 vector of lower quantiles.
qupper
A k x 1 vector of upper quantiles.
Value
A 2 x k matrix containing the lower and upper bounds of the intervals.
RGAP documentation built on Nov. 2, 2023, 6:02 p.m.
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| .intervalIGamma | R Documentation |
Computes confidence interval of Inverse Gamma distributed variable with given mean and standard deviation.
Description
Computes confidence interval of Inverse Gamma distributed variable with given mean and standard deviation.
Usage
.intervalIGamma(mu, sd, qlower = 0.025, qupper = 1 - qlower)
Arguments
mu |
A |
sd |
A |
qlower |
A |
qupper |
A |
Value
A 2 x k matrix containing the lower and upper bounds of the intervals.
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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