norm_w_to_n: Function to normalize weights to N or to N in treated and...
In MCKnaus/causalDML: Causal Double Machine Learning
norm_w_to_n R Documentation
Function to normalize weights to N or to N in treated and controls separately
Description
Function to normalize weights to N or to N in treated and controls separately
Usage
norm_w_to_n(w, d = NULL)
Arguments
w
vector of weights that should be normalized
d
vector of treament indicators
Value
Normalized weights
MCKnaus/causalDML documentation built on June 11, 2025, 12:30 a.m.
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| norm_w_to_n | R Documentation |
Function to normalize weights to N or to N in treated and controls separately
Description
Function to normalize weights to N or to N in treated and controls separately
Usage
norm_w_to_n(w, d = NULL)
Arguments
w |
vector of weights that should be normalized |
d |
vector of treament 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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