contrastForCoef: Compute the contrast vector for inference of regression...
In shuxiaoc/outference: Valid Inference in Linear Regression Corrected for Outlier Removal
Description
Usage
Arguments
Value
Description
This function computes the contrast vector ν such that
ν^T y = β^M_j.
Usage
1
contrastForCoef(j, X, outlier.det)
Arguments
j,
the index of regression coefficients.
X,
the design matrix (including the intercept).
outlier.det,
indexes of detected outliers.
Value
This function returns the contrast vector ν.
shuxiaoc/outference documentation built on July 8, 2019, 8:30 p.m.
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Description Usage Arguments Value
Description
This function computes the contrast vector ν such that
ν^T y = β^M_j.
Usage
1 | contrastForCoef(j, X, outlier.det)
|
Arguments
j, |
the index of regression coefficients. |
X, |
the design matrix (including the intercept). |
outlier.det, |
indexes of detected outliers. |
Value
This function returns the contrast vector ν.
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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