e_coeff_landa

Graph the coefficients and lambdas of a cv.glmnet model

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Oldemar Rodriguez

regressoR

Regression Data Analysis System

Diego Jimenez A.

e_coeff_landa function

<dl><dt>cv.glm</dt>
<dd>a cv.glmnet model.</dd>
<dt>log.lambda</dt>
<dd>number that specifies the logarithm of the selected lambda</dd>
<dt>titles</dt>
<dd>labels on the chart</dd></dl>

Arguments

Ariel Arroyo &lt;luis.ariel.arroyo@promidat.com&gt;

Author

e_coeff_landa — e_coeff_landa

<dl>

<dt>cv.glm</dt>
<dd>a cv.glmnet model.</dd>


<dt>log.lambda</dt>
<dd>number that specifies the logarithm of the selected lambda</dd>


<dt>titles</dt>
<dd>labels on the chart</dd>

</dl>

e_coeff_landa: e_coeff_landa

Description

Usage

Value

Arguments

Author

See Also