estimate_rate

Compute rate estimates, a function to be passed on to bootstrap routine.

internal

Forest-based statistical estimation and inference.
GRF provides non-parametric methods for heterogeneous treatment effects estimation
(optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables),
as well as least-squares regression, quantile regression, and survival regression,
all with support for missing covariates.

Erik Sverdrup

Generalized Random Forests

Julie Tibshirani

Susan Athey

Rina Friedberg

Vitor Hadad

David Hirshberg

Luke Miner

Stefan Wager

Marvin Wright

estimate_rate function

<dl><dt>data</dt>
<dd>A data.frame with the original data, column 1: DR.scores*sample.weights, column 2: sample.weights (positive),
column 3: priority scores (integer vector with scores 1,...,num.unique.prios).</dd>
<dt>indices</dt>
<dd>A vector of indices which define the bootstrap sample.</dd>
<dt>q</dt>
<dd>A vector of fractions to compute TOC on, with last entry = 1.</dd>
<dt>wtd.mean</dt>
<dd>A weighting function determining the type of RATE estimate.</dd></dl>

Arguments

Compute rate estimates, a function to be passed on to bootstrap routine. — estimate_rate

<dl>

<dt>data</dt>
<dd>A data.frame with the original data, column 1: DR.scores*sample.weights, column 2: sample.weights (positive),
column 3: priority scores (integer vector with scores 1,...,num.unique.prios).</dd>


<dt>indices</dt>
<dd>A vector of indices which define the bootstrap sample.</dd>


<dt>q</dt>
<dd>A vector of fractions to compute TOC on, with last entry = 1.</dd>


<dt>wtd.mean</dt>
<dd>A weighting function determining the type of RATE estimate.</dd>

</dl>

Compute rate estimates, a function to be passed on to bootstrap routine.

estimate_rate: Compute rate estimates, a function to be passed on to bootstrap routine.

Description

Usage

Value

Arguments