fn.RF_fit_single: Single-fit propensity score estimation for bootstrap samples
In WMAP: Weighted Meta-Analysis with Pseudo-Populations
View source: R/other-functions.R
fn.RF_fit_single R Documentation
Single-fit propensity score estimation for bootstrap samples
Description
Fits one joint (S,Z) ranger probability forest on the full (bootstrap)
data and returns in-sample predictions.
Usage
fn.RF_fit_single(data, matX2, min.node.size)
Arguments
data
Structured data list
matX2
SVD-preprocessed covariate matrix (N x p)
min.node.size
Minimum node size for the ranger forest
Value
Array of dim (N, K, J): in-sample P(S=s, Z=z | X_i)
WMAP documentation built on Oct. 6, 2026, 1:07 a.m.
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View source: R/other-functions.R
| fn.RF_fit_single | R Documentation |
Single-fit propensity score estimation for bootstrap samples
Description
Fits one joint (S,Z) ranger probability forest on the full (bootstrap) data and returns in-sample predictions.
Usage
fn.RF_fit_single(data, matX2, min.node.size)
Arguments
data |
Structured data list |
matX2 |
SVD-preprocessed covariate matrix (N x p) |
min.node.size |
Minimum node size for the ranger forest |
Value
Array of dim (N, K, J): in-sample P(S=s, Z=z | X_i)
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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