adjustment.matrices.slow: Adjustment Matrices
In akiva-yonah-meiselman/clubsoda: What the Package Does (One Line, Title Case)
adjustment.matrices.slow R Documentation
Adjustment Matrices
Description
This function gets adjustment matrices for the
cluster-robust variance estimators CR2 and CR3
from Bell and McCaffrey (2002). The is a more
straightforward calculation of adjustment.matrices(),
for testing to make sure that adjustment.matrices()
is correct.
Usage
adjustment.matrices.slow(xg, xtx, delta = 0.5)
Arguments
xg
List of cluster-specific submatrices of design matrix
xtx
Inverse of design matrix squared
delta
Power to raise (I_g - H_gg), by default delta=0.5 for CR2
Value
A vector of eigenvalues
akiva-yonah-meiselman/clubsoda documentation built on Feb. 3, 2025, 1:34 p.m.
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| adjustment.matrices.slow | R Documentation |
Adjustment Matrices
Description
This function gets adjustment matrices for the cluster-robust variance estimators CR2 and CR3 from Bell and McCaffrey (2002). The is a more straightforward calculation of adjustment.matrices(), for testing to make sure that adjustment.matrices() is correct.
Usage
adjustment.matrices.slow(xg, xtx, delta = 0.5)
Arguments
xg |
List of cluster-specific submatrices of design matrix |
xtx |
Inverse of design matrix squared |
delta |
Power to raise (I_g - H_gg), by default delta=0.5 for CR2 |
Value
A vector of eigenvalues
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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