This is a simple wrapper around the <code><a href="/link/bs?package=stm&version=1.3.7" data-mini-rdoc="stm::bs">bs</a></code> function in
the splines package. It will default to a spline with 10 degrees of
freedom.

The Structural Topic Model (STM) allows researchers
to estimate topic models with document-level covariates.
The package also includes tools for model selection, visualization,
and estimation of topic-covariate regressions. Methods developed in
Roberts et. al. (2014) <doi:10.1111/ajps.12103> and
Roberts et. al. (2016) <doi:10.1080/01621459.2016.1141684>. Vignette
is Roberts et. al. (2019) <doi:10.18637/jss.v091.i02>.

Brandon Stewart

Estimation of the Structural Topic Model

Margaret Roberts

Dustin Tingley

Kenneth Benoit

s function

<dl><dt>x</dt>
<dd>The predictor value.</dd>
<dt>df</dt>
<dd>Degrees of freedom. Defaults to the minimum of 10 or one minus
the number of unique values in x.</dd>
<dt>...</dt>
<dd>Arguments passed to the <code><a href="/link/bs?package=stm&version=1.3.7" data-mini-rdoc="stm::bs">bs</a></code> function.</dd></dl>

Arguments

This is a simple wrapper around the <code><a href='https://rdrr.io/r/splines/bs.html'>bs</a></code> function in
the splines package. It will default to a spline with 10 degrees of
freedom.

Make a B-spline Basis Function — s

<dl>

<dt>x</dt>
<dd>The predictor value.</dd>


<dt>df</dt>
<dd>Degrees of freedom. Defaults to the minimum of 10 or one minus
the number of unique values in x.</dd>


<dt>...</dt>
<dd>Arguments passed to the <code><a href='https://rdrr.io/r/splines/bs.html'>bs</a></code> function.</dd>

</dl>

s: Make a B-spline Basis Function

Description

Usage

Value

Arguments

Details

See Also