norm_w_to_n: Normalization of sample weights for potential sample weights
In plasso: Cross-Validated (Post-) Lasso
View source: R/internal.plasso.R
norm_w_to_n R Documentation
Normalization of sample weights for potential sample weights
Description
norm_w_to_n normalizes weights either to N or to N in treated and controls separately.
Usage
norm_w_to_n(w, d = NULL)
Arguments
w
Vector or n x 1 matrix of weights that should be normalized
d
Vector of treatment indicators
Value
Normalized weights.
plasso documentation built on May 29, 2024, 6:46 a.m.
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View source: R/internal.plasso.R
| norm_w_to_n | R Documentation |
Normalization of sample weights for potential sample weights
Description
norm_w_to_n normalizes weights either to N or to N in treated and controls separately.
Usage
norm_w_to_n(w, d = NULL)
Arguments
w |
Vector or n x 1 matrix of weights that should be normalized |
d |
Vector of treatment indicators |
Value
Normalized weights.
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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