e_posib_lambda

cv.glm

number that specifies the logarithm of the selected lambda

log.lambda

titles

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

Oldemar Rodriguez R.

Andres Navarro D.

Diego Jimenez A.

Ariel Arroyo S.

e_posib_lambda 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_posib_lambda — e_posib_lambda

<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_posib_lambda: e_posib_lambda

Description

Usage

Value

Arguments

Author

See Also