cor_from_standard_errors: Computes correlation matrix from a normalized dataset...
In scov: Structured Covariances Estimators for Pairwise and Spatial Covariates
View source: R/cor_from_standard_errors.R
cor_from_standard_errors R Documentation
Computes correlation matrix from a normalized dataset (=standard errors)
Description
Computes correlation matrix from a normalized dataset (=standard errors)
Usage
cor_from_standard_errors(varepsilon)
Arguments
varepsilon
n x d matrix (n = number of observations, d = dimension)
Value
the correlation matrix
scov documentation built on March 18, 2026, 5:08 p.m.
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View source: R/cor_from_standard_errors.R
| cor_from_standard_errors | R Documentation |
Computes correlation matrix from a normalized dataset (=standard errors)
Description
Computes correlation matrix from a normalized dataset (=standard errors)
Usage
cor_from_standard_errors(varepsilon)
Arguments
varepsilon |
n x d matrix (n = number of observations, d = dimension) |
Value
the correlation 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.
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