IW_var_cor: Compute theoretical Inverse-Wishart variance of correlation...
In BayesBrainMap: Estimate Brain Networks and Connectivity with Population-Derived Priors
View source: R/estimate_prior.utils.R
IW_var_cor R Documentation
Compute theoretical Inverse-Wishart variance of correlation matrix elements
Description
Compute theoretical Inverse-Wishart variance of correlation matrix elements
Usage
IW_var_cor(nu, p, xbar_ij)
Arguments
nu
Inverse Wishart degrees of freedom parameter
p
Matrix dimension for IW distribution
xbar_ij
Empirical mean of covariance matrices at element (i,j)
Value
Theoretical IW variance for correlation element (i,j)
BayesBrainMap documentation built on Aug. 8, 2025, 7:25 p.m.
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View source: R/estimate_prior.utils.R
| IW_var_cor | R Documentation |
Compute theoretical Inverse-Wishart variance of correlation matrix elements
Description
Compute theoretical Inverse-Wishart variance of correlation matrix elements
Usage
IW_var_cor(nu, p, xbar_ij)
Arguments
nu |
Inverse Wishart degrees of freedom parameter |
p |
Matrix dimension for IW distribution |
xbar_ij |
Empirical mean of covariance matrices at element (i,j) |
Value
Theoretical IW variance for correlation element (i,j)
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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