make_folds: Create Folds for Cross-Fitting
In bdwilliamson/nova: Perform Inference on Algorithm-Agnostic Variable Importance
make_folds R Documentation
Create Folds for Cross-Fitting
Description
Create Folds for Cross-Fitting
Usage
make_folds(y, V = 2, stratified = FALSE, C = NULL, probs = rep(1/V, V))
Arguments
y
the outcome
V
the number of folds
stratified
should the folds be stratified based on the outcome?
C
a vector indicating whether or not the observation is fully observed;
1 denotes yes, 0 denotes no
probs
vector of proportions for each fold number
Value
a vector of folds
bdwilliamson/nova documentation built on Feb. 1, 2024, 10:04 p.m.
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| make_folds | R Documentation |
Create Folds for Cross-Fitting
Description
Create Folds for Cross-Fitting
Usage
make_folds(y, V = 2, stratified = FALSE, C = NULL, probs = rep(1/V, V))
Arguments
y |
the outcome |
V |
the number of folds |
stratified |
should the folds be stratified based on the outcome? |
C |
a vector indicating whether or not the observation is fully observed; 1 denotes yes, 0 denotes no |
probs |
vector of proportions for each fold number |
Value
a vector of 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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