bootstrap_ols

Bootstrap model coefficients and standard errors

A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte'
embeddings approach developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses about covariate effects on embeddings using
the regression framework developed by Rodriguez et al. (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.

Pedro L. Rodriguez

conText

'a la Carte' on Text (ConText) Embedding Regression

Arthur Spirling

Brandon Stewart

Christopher Barrie

bootstrap_ols function

<dl><dt>Y</dt>
<dd>vector of regression model's dependent variable (embedded context)</dd>
<dt>X</dt>
<dd>data.frame of model independent variables (covariates)</dd>
<dt>stratify</dt>
<dd>covariates to stratify when bootstrapping</dd></dl>

Arguments

Bootstrap OLS — bootstrap_ols

<dl>

<dt>Y</dt>
<dd>vector of regression model's dependent variable (embedded context)</dd>


<dt>X</dt>
<dd>data.frame of model independent variables (covariates)</dd>


<dt>stratify</dt>
<dd>covariates to stratify when bootstrapping</dd>

</dl>

bootstrap_ols: Bootstrap OLS

Description

Usage

Value

Arguments