coef.textmodel_ca

coefficients.textmodel_ca

<code><a href="/link/coef()?package=quanteda.textmodels&version=0.9.5-1" data-mini-rdoc="quanteda.textmodels::coef()">coef()</a></code> extract model coefficients from a fitted <code>textmodel_ca</code>
object. <code><a href="/link/coefficients()?package=quanteda.textmodels&version=0.9.5-1" data-mini-rdoc="quanteda.textmodels::coefficients()">coefficients()</a></code> is an alias.

internal

textmodel

Scaling models and classifiers for sparse matrix objects representing
textual data in the form of a document-feature matrix. Includes original
implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>,
'Wordscores' model, Perry and 'Benoit's' (2017) <arXiv:1710.08963> class affinity scaling model,
and 'Slapin' and 'Proksch's' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish'
model, as well as methods for correspondence analysis, latent semantic analysis,
and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.

Kenneth Benoit

quanteda.textmodels

Scaling Models and Classifiers for Textual Data

Kohei Watanabe

Haiyan Wang

Patrick O. Perry

Benjamin Lauderdale

Johannes Gruber

William Lowe

Vikas Sindhwani

European Research Council 

coef.textmodel_ca function

<dl><dt>object</dt>
<dd>a fitted textmodel_ca object</dd>
<dt>doc_dim, feat_dim</dt>
<dd>the document and feature dimension scores to be
extracted</dd>
<dt>...</dt>
<dd>unused</dd></dl>

Arguments

<code><a href='https://rdrr.io/r/stats/coef.html'>coef()</a></code> extract model coefficients from a fitted <code>textmodel_ca</code>
object. <code><a href='https://rdrr.io/r/stats/coef.html'>coefficients()</a></code> is an alias.

Extract model coefficients from a fitted textmodel_ca object — coef.textmodel_ca

<dl>

<dt>object</dt>
<dd>a fitted textmodel_ca object</dd>


<dt>doc_dim, feat_dim</dt>
<dd>the document and feature dimension scores to be
extracted</dd>


<dt>...</dt>
<dd>unused</dd>

</dl>

coef.textmodel_ca: Extract model coefficients from a fitted textmodel_ca object

Description

Usage

Arguments