CVXR_opt: Compute the BPS weights by convex optimization
In spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
CVXR_opt R Documentation
Compute the BPS weights by convex optimization
Description
Compute the BPS weights by convex optimization
Usage
CVXR_opt(scores)
Arguments
scores
matrix N \times K of expected predictive density evaluations for the K models considered
Value
conv_opt function to perform convex optimiazion with CVXR R package
spBPS documentation built on Oct. 25, 2024, 5:07 p.m.
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| CVXR_opt | R Documentation |
Compute the BPS weights by convex optimization
Description
Compute the BPS weights by convex optimization
Usage
CVXR_opt(scores)
Arguments
scores |
matrix |
Value
conv_opt function to perform convex optimiazion with CVXR R package
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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