Sigma4betaFun: Calculate the variance for the prior of coefficients (beta)...
In feng-li/movingknots: Efficient Bayesian multivariate surface regression
Description
Usage
Arguments
Value
Author(s)
View source: R/models__linear__etc__Sigma4betaFun.R
Description
Details available in the paper.
Usage
1
Sigma4betaFun(diag.K, Sigma, P.mats, inverse = FALSE)
Arguments
diag.K
"matrix" diagonal part of the matrix K
Sigma
"matrix" variance for the error term
P.mats
NA
inverse
"logical" if TRUE, will return the inverse variance matrix.
P
"list" containing the P matrices.
Value
"matrix"
Author(s)
Feng Li, Department of Statistics, Stockholm University, Sweden.
feng-li/movingknots documentation built on March 30, 2021, 11:58 a.m.
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Description Usage Arguments Value Author(s)
View source: R/models__linear__etc__Sigma4betaFun.R
Description
Details available in the paper.
Usage
1 | Sigma4betaFun(diag.K, Sigma, P.mats, inverse = FALSE)
|
Arguments
diag.K |
"matrix" diagonal part of the matrix K |
Sigma |
"matrix" variance for the error term |
P.mats |
NA |
inverse |
"logical" if TRUE, will return the inverse variance matrix. |
P |
"list" containing the P matrices. |
Value
"matrix"
Author(s)
Feng Li, Department of Statistics, Stockholm University, Sweden.
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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