Nonparametric maximum likelihood estimation methods
for random coefficient binary response  models and some related
functionality for sequential processing of hyperplane arrangements.
See J. Gu and R. Koenker (2020) <DOI:10.1080/01621459.2020.1802284>.

Random Coefficient Binary Response Estimation

package-ubuntu-20.04-r-4.0.5#cran#RCBR-0.5.9

<p>Given a fitted model by the Guatier-Kitamura procedure plot the estimated density contours
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>is the fitted GK object</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>other arguments to pass to <code>contour</code>, notably e.g. <code>add = TRUE</code></p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#RCBR-0.5.9#docs#plot.GK

`x`	is the fitted GK object
`...`	other arguments to pass to `contour`, notably e.g. `add = TRUE`

plot.GK

Description

Usage

Arguments

Value

RCBR

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