dinvGamma: Compute the density of Inverse gamma distribution
In Roche/crmPack: Object-Oriented Implementation of CRM Designs
dinvGamma R Documentation
Compute the density of Inverse gamma distribution
Description
Compute the density of Inverse gamma distribution
Usage
dinvGamma(x, a, b, log = FALSE, normalize = TRUE)
Arguments
x
vector of quantiles
a
the shape parameter of the inverse gamma distribution
b
the scale parameter of the inverse gamma distribution
log
logical; if TRUE, probabilities p are given as log(p)
normalize
logical; if TRUE, the output will be normalized
Roche/crmPack documentation built on April 20, 2024, 1:10 p.m.
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| dinvGamma | R Documentation |
Compute the density of Inverse gamma distribution
Description
Compute the density of Inverse gamma distribution
Usage
dinvGamma(x, a, b, log = FALSE, normalize = TRUE)
Arguments
x |
vector of quantiles |
a |
the shape parameter of the inverse gamma distribution |
b |
the scale parameter of the inverse gamma distribution |
log |
logical; if TRUE, probabilities p are given as log(p) |
normalize |
logical; if TRUE, the output will be normalized |
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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