pnr: A Gibbs sampler for a projected normal regression model
In bpnreg: Bayesian Projected Normal Regression Models for Circular Data
Description
A Gibbs sampler for a projected normal regression model
Usage
1
Arguments
theta
A vector with the circular dependent variable.
X1
A model matrix for component I.
X2
A model matrix for component II.
its
An integer specifying the number of iterations
lag
An integer specifying the amount of lag.
burn
An integer specifying the number of burn-in iterations.
bpnreg documentation built on Aug. 6, 2021, 9:07 a.m.
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Description
A Gibbs sampler for a projected normal regression model
Usage
1 |
Arguments
theta |
A vector with the circular dependent variable. |
X1 |
A model matrix for component I. |
X2 |
A model matrix for component II. |
its |
An integer specifying the number of iterations |
lag |
An integer specifying the amount of lag. |
burn |
An integer specifying the number of burn-in iterations. |
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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