prep_w_mat: Creates matrix of binary treament indicators (n x T+1) where...
In MCKnaus/causalDML: Causal Double Machine Learning
View source: R/utils_effects.R
prep_w_mat R Documentation
Creates matrix of binary treament indicators (n x T+1) where each column contains
a binary indicator for one treatment.
Description
Creates matrix of binary treament indicators (n x T+1) where each column contains
a binary indicator for one treatment.
Usage
prep_w_mat(w)
Arguments
w
Treatment vector. Provide as factor to control ordering of the treatments,
otherwise program orders treatments in ascending order or alphabetically.
Value
Logical matrix of treatment indicators (n x T+1).
MCKnaus/causalDML documentation built on June 11, 2025, 12:30 a.m.
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View source: R/utils_effects.R
| prep_w_mat | R Documentation |
Creates matrix of binary treament indicators (n x T+1) where each column contains a binary indicator for one treatment.
Description
Creates matrix of binary treament indicators (n x T+1) where each column contains a binary indicator for one treatment.
Usage
prep_w_mat(w)
Arguments
w |
Treatment vector. Provide as factor to control ordering of the treatments, otherwise program orders treatments in ascending order or alphabetically. |
Value
Logical matrix of treatment indicators (n x T+1).
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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