fit_cpp_MvT: Compute the parameters for the posteriors distribution of...
In spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
fit_cpp_MvT R Documentation
Compute the parameters for the posteriors distribution of \beta and \Sigma (i.e. updated parameters)
Description
Compute the parameters for the posteriors distribution of \beta and \Sigma (i.e. updated parameters)
Usage
fit_cpp_MvT(data, priors, coords, hyperpar)
Arguments
data
list two elements: first named Y, second named X
priors
list priors: named \mu_B,V_r,\Psi,\nu
coords
matrix sample coordinates for X and Y
hyperpar
list two elemets: first named \alpha, second named \phi
Value
list posterior update parameters
spBPS documentation built on Oct. 25, 2024, 5:07 p.m.
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| fit_cpp_MvT | R Documentation |
Compute the parameters for the posteriors distribution of \beta and \Sigma (i.e. updated parameters)
Description
Compute the parameters for the posteriors distribution of \beta and \Sigma (i.e. updated parameters)
Usage
fit_cpp_MvT(data, priors, coords, hyperpar)
Arguments
data |
list two elements: first named |
priors |
list priors: named |
coords |
matrix sample coordinates for X and Y |
hyperpar |
list two elemets: first named |
Value
list posterior update parameters
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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