split_data: Partition the data into folds
In tidyhte: Tidy Estimation of Heterogeneous Treatment Effects
split_data R Documentation
Partition the data into folds
Description
This takes a dataset and a split ID and generates two subsets of the
data corresponding to a training set and a holdout.
Usage
split_data(data, split_id)
Arguments
data
dataframe
split_id
integer representing the split to construct
Value
Returns an R6 object HTEFold with three public fields:
-
train - The split to be used for training the plugin estimates
-
holdout - The split not used for training
-
in_holdout - A logical vector indicating for each unit whether they lie in the holdout.
tidyhte documentation built on Aug. 14, 2023, 5:08 p.m.
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| split_data | R Documentation |
Partition the data into folds
Description
This takes a dataset and a split ID and generates two subsets of the data corresponding to a training set and a holdout.
Usage
split_data(data, split_id)
Arguments
data |
dataframe |
split_id |
integer representing the split to construct |
Value
Returns an R6 object HTEFold with three public fields:
-
train- The split to be used for training the plugin estimates -
holdout- The split not used for training -
in_holdout- A logical vector indicating for each unit whether they lie in the holdout.
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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