robust_solve_XtX: Robust solve for X'X beta = X'Y using QR decomposition
In did2s: Two-Stage Difference-in-Differences Following Gardner (2021)
robust_solve_XtX R Documentation
Robust solve for X'X beta = X'Y using QR decomposition
Description
This function computes the least squares solution beta = (X'X)^(-1) X'Y
in a numerically stable way using QR decomposition, handling rank-deficient
matrices gracefully.
Usage
robust_solve_XtX(X, Y)
Arguments
X
Design matrix (sparse or dense)
Y
Response matrix/vector (can be X'Y if already computed)
Value
The least squares solution beta (may contain 0 for rank-deficient columns)
did2s documentation built on Nov. 5, 2025, 5:26 p.m.
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| robust_solve_XtX | R Documentation |
Robust solve for X'X beta = X'Y using QR decomposition
Description
This function computes the least squares solution beta = (X'X)^(-1) X'Y in a numerically stable way using QR decomposition, handling rank-deficient matrices gracefully.
Usage
robust_solve_XtX(X, Y)
Arguments
X |
Design matrix (sparse or dense) |
Y |
Response matrix/vector (can be X'Y if already computed) |
Value
The least squares solution beta (may contain 0 for rank-deficient columns)
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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