preprocessTrainData: Preprocess covariates for use in a 'ForestDataset' at train...
In stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
preprocessTrainData R Documentation
Preprocess covariates for use in a ForestDataset at train time.
Description
Preprocess covariates for use in a ForestDataset at train time.
DataFrames will be preprocessed based on their column
types. Matrices will be passed through assuming all columns are numeric.
Usage
preprocessTrainData(input_data)
Arguments
input_data
Covariates, provided as either a dataframe or a matrix
Value
List with preprocessed (unmodified) data and details on the number of each type
of variable, unique categories associated with categorical variables, and the
vector of feature types needed for calls to BART and BCF.
Examples
cov_mat <- matrix(1:12, ncol = 3)
preprocess_list <- preprocessTrainData(cov_mat)
X <- preprocess_list$X
stochtree documentation built on Nov. 22, 2025, 9:06 a.m.
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| preprocessTrainData | R Documentation |
Preprocess covariates for use in a ForestDataset at train time.
Description
Preprocess covariates for use in a ForestDataset at train time.
DataFrames will be preprocessed based on their column
types. Matrices will be passed through assuming all columns are numeric.
Usage
preprocessTrainData(input_data)
Arguments
input_data |
Covariates, provided as either a dataframe or a matrix |
Value
List with preprocessed (unmodified) data and details on the number of each type of variable, unique categories associated with categorical variables, and the vector of feature types needed for calls to BART and BCF.
Examples
cov_mat <- matrix(1:12, ncol = 3)
preprocess_list <- preprocessTrainData(cov_mat)
X <- preprocess_list$X
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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