pnr: A Gibbs sampler for a projected normal regression model
In joliencremers/bpnreg: Bayesian Projected Normal Regression Models for Circular Data
pnr R Documentation
A Gibbs sampler for a projected normal regression model
Description
A Gibbs sampler for a projected normal regression model
Usage
pnr(theta, X1, X2, its, lag, burn)
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.
joliencremers/bpnreg documentation built on Nov. 9, 2023, 4:55 a.m.
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.
| pnr | R Documentation |
A Gibbs sampler for a projected normal regression model
Description
A Gibbs sampler for a projected normal regression model
Usage
pnr(theta, X1, X2, its, lag, burn)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.