check_weights

Helper function to check a weights vector. Makes sure the weights
are positive numeric values (not all zeros) and of the same length as the
dependent variable <code>dep_var</code>. Replaces all <code>NA</code>s with 0 and sets
all weights to 1 if weights is set to NULL.

Provides functions to compute recentered influence functions
(RIF) of a distributional variable at the mean, quantiles, variance,
gini or any custom functional of interest. The package allows to
regress the RIF on any number of covariates. Generic print, plot and
summary functions are also provided. Reference: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2009) <doi:10.3982/ECTA6822>. "Unconditional Quantile Regressions.".

Samuel Meier

rifreg

Estimate Recentered Influence Function Regression

David Gallusser

check_weights function

<dl><dt>dep_var</dt>
<dd>dependent variable of distributional function.
Can be any discrete or continuous vector of length 1 or more.</dd>
<dt>weights</dt>
<dd>positive numeric vector of <code>length(dep_var)</code>
containing the weights or <code>NULL</code>.</dd></dl>

Arguments

Check weights — check_weights

<dl>

<dt>dep_var</dt>
<dd>dependent variable of distributional function.
Can be any discrete or continuous vector of length 1 or more.</dd>


<dt>weights</dt>
<dd>positive numeric vector of <code>length(dep_var)</code>
containing the weights or <code>NULL</code>.</dd>

</dl>

check_weights: Check weights

Description

Usage

Value

Arguments

Examples