sigmaMatNew: Generate different types of covariance matrices
In WaverlyWei/subDebiased: Sharp Inference on Selected Subgroup in Observational Studies
sigmaMatNew R Documentation
Generate different types of covariance matrices
Description
Generate different types of covariance matrices
Usage
sigmaMatNew(p, type = NULL)
Arguments
p
dimension of confounders
type
type of matrix
Value
Sigma
A covariance matrix
WaverlyWei/subDebiased documentation built on June 30, 2022, 10:50 a.m.
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| sigmaMatNew | R Documentation |
Generate different types of covariance matrices
Description
Generate different types of covariance matrices
Usage
sigmaMatNew(p, type = NULL)
Arguments
p |
dimension of confounders |
type |
type of matrix |
Value
Sigma |
A 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.
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