GammaPriorCh: Compute Parameters to Calibrate a Gamma Distribution
In rudeboybert/SpatialEpi: Methods and Data for Spatial Epidemiology
GammaPriorCh R Documentation
Compute Parameters to Calibrate a Gamma Distribution
Description
Compute parameters to calibrate the prior distribution of a relative risk that has a gamma distribution.
Usage
GammaPriorCh(theta, prob, d)
Arguments
theta
upper quantile
prob
upper quantile
d
degrees of freedom
Value
List containing
a
shape parameter
b
rate parameter
Author(s)
Jon Wakefield
See Also
LogNormalPriorCh
Examples
param <- GammaPriorCh(5, 0.975,1)
curve(dgamma(x,shape=param$a,rate=param$b),from=0,to=6,n=1000,ylab="density")
rudeboybert/SpatialEpi documentation built on Feb. 27, 2023, 5:09 a.m.
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| GammaPriorCh | R Documentation |
Compute Parameters to Calibrate a Gamma Distribution
Description
Compute parameters to calibrate the prior distribution of a relative risk that has a gamma distribution.
Usage
GammaPriorCh(theta, prob, d)
Arguments
theta |
upper quantile |
prob |
upper quantile |
d |
degrees of freedom |
Value
List containing
a |
shape parameter |
b |
rate parameter |
Author(s)
Jon Wakefield
See Also
LogNormalPriorCh
Examples
param <- GammaPriorCh(5, 0.975,1) curve(dgamma(x,shape=param$a,rate=param$b),from=0,to=6,n=1000,ylab="density")
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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