summary.polywog

Generates a "regression table" to summarize the fitted model, including
coefficients along with their bootstrapped standard errors and confidence
intervals. If the fitted model does not have a <code>boot.matrix</code> element,
the output will contain <code>NA</code>s for the standard errors, and confidence
intervals will not be displayed.

Routines for flexible functional form estimation via basis
regression, with model selection via the adaptive LASSO or SCAD to prevent
overfitting.

Brenton Kenkel

polywog

Bootstrapped Basis Regression with Oracle Model Selection

Curtis S. Signorino

summary.polywog function

<dl><dt>object</dt>
<dd>a fitted model of class <code>"polywog"</code>, typically the output
of <code>polywog</code>.</dd>
<dt>level</dt>
<dd>width of the bootstrap confidence interval to compute for the
model coefficients.</dd>
<dt>prop0</dt>
<dd>logical: whether to print the proportion of bootstrap
iterations in which each coefficient was estimated as exactly 0. This may
be informative but should not be interpreted as a p-value.</dd>
<dt>...</dt>
<dd>other arguments, currently ignored.</dd></dl>

Arguments

Brenton Kenkel and Curtis S. Signorino

Author

Summarize a fitted polywog model — summary.polywog

<dl>

<dt>object</dt>
<dd>a fitted model of class <code>"polywog"</code>, typically the output
of <code>polywog</code>.</dd>


<dt>level</dt>
<dd>width of the bootstrap confidence interval to compute for the
model coefficients.</dd>


<dt>prop0</dt>
<dd>logical: whether to print the proportion of bootstrap
iterations in which each coefficient was estimated as exactly 0. This may
be informative but should not be interpreted as a p-value.</dd>


<dt>...</dt>
<dd>other arguments, currently ignored.</dd>

</dl>

summary.polywog: Summarize a fitted polywog model

Description

Usage

Value

Arguments

Author