clpm.control

This function generates default values for the tolerance (<code>tol</code>) and maximum number of iterations (<code>maxit</code>) for clpm, as well as an option to print the progress.

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

clpm.control function

<dl> <dt>tol</dt>
<dd>tolerance value for the steps of the algorithm.</dd> <dt>maxit</dt>
<dd>maximum number of attempts of the algorithm.</dd> <dt>trace</dt>
<dd>logical: should the progress be printed on screen?</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

Control Parameters for Constrained Estimation of Linear Probability Model — clpm.control

<dl>

 <dt>tol</dt>
<dd>tolerance value for the steps of the algorithm.</dd>

 <dt>maxit</dt>
<dd>maximum number of attempts of the algorithm.</dd>

 <dt>trace</dt>
<dd>logical: should the progress be printed on screen?</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>

clpm.control: Control Parameters for Constrained Estimation of Linear Probability Model

Description

Usage

Value

Arguments

Author