cormat_equi: Create an equicorrelation matrix
In cases: Stratified Evaluation of Subgroup Classification Accuracy
cormat_equi R Documentation
Create an equicorrelation matrix
Description
Create an equicorrelation matrix
Usage
cormat_equi(m, rho, d = TRUE)
Arguments
m
(numeric)
dimensions of the (square) matrix
rho
(numeric)
correlation parameter in (0,1)
d
(logical | numeric)
binary vector of length m, whereby TRUE/FALSE (alternatively 1/0)
indicate active/inactive components of underlying random vector.
Value
(matrix)
AR(1) correlation matrix R with entries R_{ij} = \rho, i\neq j
cases documentation built on April 3, 2025, 9:24 p.m.
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| cormat_equi | R Documentation |
Create an equicorrelation matrix
Description
Create an equicorrelation matrix
Usage
cormat_equi(m, rho, d = TRUE)
Arguments
m |
(numeric) |
rho |
(numeric) |
d |
(logical | numeric) |
Value
(matrix)
AR(1) correlation matrix R with entries R_{ij} = \rho, i\neq 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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