NormalPrior: Create a Normal prior object for model specification.
In bayesPO: Bayesian Inference for Presence-Only Data
NormalPrior R Documentation
Create a Normal prior object for model specification.
Description
Constructor for NormalPrior-class objects
Usage
NormalPrior(mu, Sigma)
Arguments
mu
The mean vector for the Normal distribution.
Sigma
The covariance matrix for the Normal distribution.
Details
Matrix Sigma must be square and positive definite. Its dimensions
must match mu's length.
Value
A NormalPrior object with adequate slots.
See Also
prior
Examples
NormalPrior(rep(0, 10), diag(10) * 10)
bayesPO documentation built on May 29, 2024, 8:33 a.m.
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| NormalPrior | R Documentation |
Create a Normal prior object for model specification.
Description
Constructor for NormalPrior-class objects
Usage
NormalPrior(mu, Sigma)
Arguments
mu |
The mean vector for the Normal distribution. |
Sigma |
The covariance matrix for the Normal distribution. |
Details
Matrix Sigma must be square and positive definite. Its dimensions must match mu's length.
Value
A NormalPrior object with adequate slots.
See Also
prior
Examples
NormalPrior(rep(0, 10), diag(10) * 10)
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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