prep_cf_mat: Creates matrix of binary cross-fitting fold indicators (n x #...
In MCKnaus/causalDML: Causal Double Machine Learning
View source: R/utils_effects.R
prep_cf_mat R Documentation
Creates matrix of binary cross-fitting fold indicators (n x # cross-folds)
Description
Creates matrix of binary cross-fitting fold indicators (n x # cross-folds)
Usage
prep_cf_mat(n, cf, w_mat = NULL, cl = NULL)
Arguments
n
Number of observations.
cf
Number of cross-fitting folds.
w_mat
Optional logical matrix of treatment indicators (n x T+1). For example created by prep_w_mat.
If specified, cross-fitting folds will preserve the treatment rations from full sample.
cl
Optional vector of cluster variable if cross-fitting should account for clusters.
Value
Logical matrix of cross-fitting folds (n x # folds).
MCKnaus/causalDML documentation built on Aug. 19, 2023, 5:47 p.m.
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View source: R/utils_effects.R
| prep_cf_mat | R Documentation |
Creates matrix of binary cross-fitting fold indicators (n x # cross-folds)
Description
Creates matrix of binary cross-fitting fold indicators (n x # cross-folds)
Usage
prep_cf_mat(n, cf, w_mat = NULL, cl = NULL)
Arguments
n |
Number of observations. |
cf |
Number of cross-fitting folds. |
w_mat |
Optional logical matrix of treatment indicators (n x T+1). For example created by |
cl |
Optional vector of cluster variable if cross-fitting should account for clusters. |
Value
Logical matrix of cross-fitting folds (n x # folds).
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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