resid_maker: Creates orthogonal residuals
In sensemakr: Sensitivity Analysis Tools for Regression Models
Description
Usage
Arguments
Value
Description
This function is an auxiliary function for simulation purposes.
It creates a vector of n standard normal random variables, residualizes
this vector against a matrix of covariates C, then standardizes the vector again.
Usage
1
resid_maker(n, C)
Arguments
n
sample size.
C
a numeric matrix with n rows and p columns.
Value
The function returns a numeric vector orthogonal to C.
sensemakr documentation built on Oct. 8, 2021, 9:10 a.m.
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Description Usage Arguments Value
Description
This function is an auxiliary function for simulation purposes. It creates a vector of n standard normal random variables, residualizes this vector against a matrix of covariates C, then standardizes the vector again.
Usage
1 | resid_maker(n, C)
|
Arguments
n |
sample size. |
C |
a numeric matrix with |
Value
The function returns a numeric vector orthogonal to C.
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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