best_predictor

Best predictor function from causal_forest

Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.

Graeme Blair

rdss

Companion Datasets and Functions for Research Design in the
Social Sciences

Alexander Coppock

Macartan Humphreys

best_predictor function

<dl><dt>data</dt>
<dd>A data.frame of covariates</dd>
<dt>covariate_names</dt>
<dd>A character vector of covariates to assess</dd>
<dt>cuts</dt>
<dd>Either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which each covariate is to be cut.</dd></dl>

Arguments

Best predictor function from causal_forest — best_predictor

<dl>

<dt>data</dt>
<dd>A data.frame of covariates</dd>


<dt>covariate_names</dt>
<dd>A character vector of covariates to assess</dd>


<dt>cuts</dt>
<dd>Either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which each covariate is to be cut.</dd>

</dl>

best_predictor: Best predictor function from causal_forest

Description

Usage

Value

Arguments