calc_sigma_cpp: Calculate the sigma covariance matrix of a Gaussian linear...
In dkesada/dbnR: Dynamic Bayesian Network Learning and Inference
calc_sigma_cpp R Documentation
Calculate the sigma covariance matrix of a Gaussian linear network.
This is the C++ backend of the function.
Description
Calculate the sigma covariance matrix of a Gaussian linear network.
This is the C++ backend of the function.
Usage
calc_sigma_cpp(fit, order)
Arguments
fit
a bn.fit object as a Rcpp::List
order
a topological ordering of the nodes as a vector of strings
Value
the covariance matrix
dkesada/dbnR documentation built on June 19, 2024, 6:45 p.m.
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.
| calc_sigma_cpp | R Documentation |
Calculate the sigma covariance matrix of a Gaussian linear network. This is the C++ backend of the function.
Description
Calculate the sigma covariance matrix of a Gaussian linear network. This is the C++ backend of the function.
Usage
calc_sigma_cpp(fit, order)
Arguments
fit |
a bn.fit object as a Rcpp::List |
order |
a topological ordering of the nodes as a vector of strings |
Value
the covariance 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.