NormalPrior: Normal prior distribution for the parameter mu
In adestr: Estimation in Optimal Adaptive Two-Stage Designs
NormalPrior R Documentation
Normal prior distribution for the parameter mu
Description
Normal prior distribution for the parameter mu
Usage
NormalPrior(mu = 0, sigma = 1)
Arguments
mu
mean of prior distribution.
sigma
standard deviation of the prior distribution.
Value
an object of class NormalPrior. This object can be supplied
as the argument mu of the evaluate_estimator function
to calculate performance scores weighted by a prior.
Examples
NormalPrior(mu = 0, sigma = 1)
adestr documentation built on Sept. 11, 2024, 6:05 p.m.
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| NormalPrior | R Documentation |
Normal prior distribution for the parameter mu
Description
Normal prior distribution for the parameter mu
Usage
NormalPrior(mu = 0, sigma = 1)
Arguments
mu |
mean of prior distribution. |
sigma |
standard deviation of the prior distribution. |
Value
an object of class NormalPrior. This object can be supplied
as the argument mu of the evaluate_estimator function
to calculate performance scores weighted by a prior.
Examples
NormalPrior(mu = 0, sigma = 1)
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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