sR.sC: Compute Regression Parameters
In sbgcop: Semiparametric Bayesian Gaussian Copula Estimation and Imputation
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Compute an array of regression parameters from an array of correlation
parameters.
Usage
1
sR.sC(sC)
Arguments
sC
a p x p x nsamp array of, made up of nsamp correlation matrices.
Details
For each of the nsamp correlation matrices C, a matrix of regression
parameters is computed via R[j,-j]<- C[j,-j]%*%solve(C[-j,-j])
Value
a p x p x nsamp array of regression parameters.
Author(s)
Peter Hoff
Examples
1
2
3
fit<-sbgcop.mcmc(swiss)
plotci.sA(sR.sC(fit$C.psamp))
sbgcop documentation built on May 2, 2019, 9:48 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Compute an array of regression parameters from an array of correlation parameters.
Usage
1 | sR.sC(sC)
|
Arguments
sC |
a p x p x nsamp array of, made up of nsamp correlation matrices. |
Details
For each of the nsamp correlation matrices C, a matrix of regression
parameters is computed via R[j,-j]<- C[j,-j]%*%solve(C[-j,-j])
Value
a p x p x nsamp array of regression parameters.
Author(s)
Peter Hoff
Examples
1 2 3 | fit<-sbgcop.mcmc(swiss)
plotci.sA(sR.sC(fit$C.psamp))
|
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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