predict.clpm

Predicted values based on constrained linear probability model object.

methods

Estimation of linear model with predictions inside the (0,1) interval. Standard least squares criterion is minimized subjected to a penalty term that enforces the constraints. The estimator is suitable for binary responses, or any response between 0 and 1.

Andrea Beci

clpm

Constrained Estimation of Linear Probability Model

Paolo Frumento

predict.clpm function

<dl> <dt>object</dt>
<dd>Object of class inheriting from <code>"clpm"</code></dd> <dt>newdata</dt>
<dd>An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd> <dt>se.fit</dt>
<dd>A switch indicating if standard errors are required.</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Andrea Beci <a href="/link/andreabeci08%40gmail.com?package=clpm&version=1.0" data-mini-rdoc="clpm::andreabeci08@gmail.com">andreabeci08@gmail.com</a>, Paolo Frumento <a href="/link/paolo.frumento%40unipi.it?package=clpm&version=1.0" data-mini-rdoc="clpm::paolo.frumento@unipi.it">paolo.frumento@unipi.it</a>

Author

Predict method for Constrained Linear Probability Model — predict.clpm

<dl>

 <dt>object</dt>
<dd>Object of class inheriting from <code>"clpm"</code></dd>

 <dt>newdata</dt>
<dd>An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd>

 <dt>se.fit</dt>
<dd>A switch indicating if standard errors are required.</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

Andrea Beci <a href='mailto:andreabeci08@gmail.com'>andreabeci08@gmail.com</a>, Paolo Frumento <a href='mailto:paolo.frumento@unipi.it'>paolo.frumento@unipi.it</a>

predict.clpm: Predict method for Constrained Linear Probability Model

Description

Usage

Value

Arguments

Author

Details