honestRF

This function is deprecated and only exists for backwards
 backwards compatibility. The function you want to use is `forestry`.

Provides fast implementations of Random Forests,
Gradient Boosting, and Linear Random Forests, with an emphasis on inference
and interpretability. Additionally contains methods for variable
importance, out-of-bag prediction, regression monotonicity, and
several methods for missing data imputation.

Theo Saarinen

Rforestry

Random Forests, Linear Trees, and Gradient Boosting for
Inference and Interpretability

Sören Künzel

Simon Walter

Sam Antonyan

Edward Liu

Allen Tang

Jasjeet Sekhon

honestRF function

<dl><dt>...</dt>
<dd>parameters which are passed directly to `forestry`</dd></dl>

Arguments

Honest Random Forest — honestRF

<dl>

<dt>...</dt>
<dd>parameters which are passed directly to `forestry`</dd>

</dl>

honestRF: Honest Random Forest

Description

Usage

Arguments