resid_maker

This function is an auxiliary function for simulation purposes.
It creates a vector of n standard normal random variables, residualizes
this vector against a matrix of covariates C, then standardizes the vector again.

internal

Implements a suite of sensitivity analysis tools
that extends the traditional omitted variable bias framework and makes it easier
to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) <doi:10.1111/rssb.12348>.

Carlos Cinelli

sensemakr

Sensitivity Analysis Tools for Regression Models

Jeremy Ferwerda

Chad Hazlett

Danielle Tsao

Aaron Rudkin

Grigorij Ljubownikow

resid_maker function

<dl><dt>n</dt>
<dd>sample size.</dd>
<dt>C</dt>
<dd>a numeric matrix with <code>n</code> rows and <code>p</code> columns.</dd></dl>

Arguments

Creates orthogonal residuals — resid_maker

<dl>

<dt>n</dt>
<dd>sample size.</dd>


<dt>C</dt>
<dd>a numeric matrix with <code>n</code> rows and <code>p</code> columns.</dd>

</dl>

resid_maker: Creates orthogonal residuals

Description

Usage

Value

Arguments