check_mtry

internal

Nonparametric estimator of the ordered choice model using random forests. The estimator modifies a
standard random forest splitting criterion to build a collection of forests, each estimating the conditional
probability of a single class. The package also implements a nonparametric estimator of the covariates’ marginal effects.

Riccardo Di Francesco

morf

Modified Ordered Random Forest

check_mtry function

<dl><dt>mtry</dt>
<dd>Number of covariates to possibly split at in each node. Default is the (rounded down) square root of the number of covariates. Alternatively, one can pass a single-argument function returning an integer, where the argument is the number of covariates.</dd>
<dt>nv</dt>
<dd>Number of covariates.</dd></dl>

Arguments

Check Argument mtry — check_mtry

<dl>

<dt>mtry</dt>
<dd>Number of covariates to possibly split at in each node. Default is the (rounded down) square root of the number of covariates. Alternatively, one can pass a single-argument function returning an integer, where the argument is the number of covariates.</dd>


<dt>nv</dt>
<dd>Number of covariates.</dd>

</dl>

check_mtry: Check Argument mtry

Description

Usage

Value

Arguments