calc_Sigma_opt_frob: Minimizes the Frobenius norm via quadratic optimization
In scov: Structured Covariances Estimators for Pairwise and Spatial Covariates
View source: R/calc_Sigma_opt_frob.R
calc_Sigma_opt_frob R Documentation
Minimizes the Frobenius norm via quadratic optimization
Description
Minimizes the Frobenius norm via quadratic optimization
Usage
calc_Sigma_opt_frob(matList_full, corY, edge_constraints = c())
Arguments
matList_full
combined list of pairwise and spatial matrices
corY
a correlation matrix estimate
edge_constraints
a vector indicating which effect is constrained
Value
a list giving the optimal parameter and corresponding matrix
scov documentation built on March 18, 2026, 5:08 p.m.
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View source: R/calc_Sigma_opt_frob.R
| calc_Sigma_opt_frob | R Documentation |
Minimizes the Frobenius norm via quadratic optimization
Description
Minimizes the Frobenius norm via quadratic optimization
Usage
calc_Sigma_opt_frob(matList_full, corY, edge_constraints = c())
Arguments
matList_full |
combined list of pairwise and spatial matrices |
corY |
a correlation matrix estimate |
edge_constraints |
a vector indicating which effect is constrained |
Value
a list giving the optimal parameter and corresponding matrix
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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