delta.vecPartiSigma4beta.inv: This is the gradient for a single partition of beta's...
In feng-li/movingknots: Efficient Bayesian multivariate surface regression
Description
Usage
Arguments
Value
Author(s)
View source: R/models__linear__etc__delta.vecPartiSigma4beta.inv.R
Description
Details from the paper.
Usage
1
delta.vecPartiSigma4beta.inv(diag.K_i, Sigma.inv, P_i)
Arguments
diag.K_i
NA
Sigma.inv
NA
P_i
NA
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__delta.vecPartiSigma4beta.inv.R
Description
Details from the paper.
Usage
1 | delta.vecPartiSigma4beta.inv(diag.K_i, Sigma.inv, P_i)
|
Arguments
diag.K_i |
NA |
Sigma.inv |
NA |
P_i |
NA |
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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