bayesMVN: Bayesian MVN
In siar: Stable Isotope Analysis in R
Description
Usage
Arguments
Value
Author(s)
Description
Fit a Multivariate Normal distribution to bivariate data using Bayesian
Inference. Uses the function rmultireg to fit the model to the data.
Usage
1
bayesMVN(x,y,R=10^4)
Arguments
x
A vector containing the x coordinates of the data.
y
A vector containing the y coordinates of the data.
R
The number of posterior draws to make. Defaults to 10^4.
Value
b
The posterior draws of the estimated means.
S
The posterior draws of the estimated correlation matrix sigma.
Author(s)
Andrew Jackson
siar documentation built on May 2, 2019, 11:02 a.m.
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Description Usage Arguments Value Author(s)
Description
Fit a Multivariate Normal distribution to bivariate data using Bayesian
Inference. Uses the function rmultireg to fit the model to the data.
Usage
1 | bayesMVN(x,y,R=10^4)
|
Arguments
x |
A vector containing the x coordinates of the data. |
y |
A vector containing the y coordinates of the data. |
R |
The number of posterior draws to make. Defaults to 10^4. |
Value
b |
The posterior draws of the estimated means. |
S |
The posterior draws of the estimated correlation matrix sigma. |
Author(s)
Andrew Jackson
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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