check_honesty_fraction

Checks the input data of honesty.fraction in orf

internal

An implementation of the Ordered Forest estimator as developed
in Lechner & Okasa (2019) <arXiv:1907.02436>. The Ordered Forest flexibly
estimates the conditional probabilities of models with ordered categorical
outcomes (so-called ordered choice models). Additionally to common machine
learning algorithms the 'orf' package provides functions for estimating
marginal effects as well as statistical inference thereof and thus provides
similar output as in standard econometric models for ordered choice. The
core forest algorithm relies on the fast C++ forest implementation from
the 'ranger' package (Wright & Ziegler, 2017) <arXiv:1508.04409>.

Gabriel Okasa

Ordered Random Forests

check_honesty_fraction function

<dl><dt>honesty.fraction</dt>
<dd>scalar, share of the data set aside to estimate the effects (default is 0.5)</dd>
<dt>honesty</dt>
<dd>logical, if data should be split into train and honest sample</dd></dl>

Arguments

check honesty fraction — check_honesty_fraction

<dl>

<dt>honesty.fraction</dt>
<dd>scalar, share of the data set aside to estimate the effects (default is 0.5)</dd>


<dt>honesty</dt>
<dd>logical, if data should be split into train and honest sample</dd>

</dl>

check_honesty_fraction: check honesty fraction

Description

Usage

Value

Arguments