create_cov_canonical: Compute List of Canonical Covariance Matrices
In gaow/mmbr: Multivariate Sum of Single Effects Regression
create_cov_canonical R Documentation
Compute List of Canonical Covariance Matrices
Description
This function computes canonical covariance matrices
to be provided to mash.
Usage
create_cov_canonical(R, singletons = TRUE, hetgrid = seq(0, 1, 0.25))
Arguments
R
Integer specifying the number of conditions.
singletons
TRUE or FALSE indicating whether
the singleton matrices are computed.
hetgrid
A vector of numbers between -1 and 1, each
representing the off-diagonal elements of matrices with 1s on the
diagonal. If 0 is included, the identity matrix will be returned
which corresponds to assuming effects are independent across
conditions. IF hetgrid = NULL, these matrices are not
returned.
Value
A list of canonical covariance matrices.
Examples
mvsusieR:::create_cov_canonical(3)
mvsusieR:::create_cov_canonical(3, singletons = FALSE)
mvsusieR:::create_cov_canonical(3, hetgrid = NULL)
gaow/mmbr documentation built on April 24, 2024, 7:12 p.m.
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| create_cov_canonical | R Documentation |
Compute List of Canonical Covariance Matrices
Description
This function computes canonical covariance matrices to be provided to mash.
Usage
create_cov_canonical(R, singletons = TRUE, hetgrid = seq(0, 1, 0.25))
Arguments
R |
Integer specifying the number of conditions. |
singletons |
|
hetgrid |
A vector of numbers between -1 and 1, each
representing the off-diagonal elements of matrices with 1s on the
diagonal. If 0 is included, the identity matrix will be returned
which corresponds to assuming effects are independent across
conditions. IF |
Value
A list of canonical covariance matrices.
Examples
mvsusieR:::create_cov_canonical(3)
mvsusieR:::create_cov_canonical(3, singletons = FALSE)
mvsusieR:::create_cov_canonical(3, hetgrid = NULL)
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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