coef_lambda

get penalized regression coefficients.

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.

coef_lambda function

<dl><dt>data</dt>
<dd>dataframe</dd>
<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>
<dt>model</dt>
<dd>a penalized regression model(cv.glmnet).</dd>
<dt>log.lambda</dt>
<dd>numerical. Logarithm of lambda in case you don't want to use the optimal lambda.</dd></dl>

Arguments

coef_lambda — coef_lambda

<dl>

<dt>data</dt>
<dd>dataframe</dd>


<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>


<dt>model</dt>
<dd>a penalized regression model(cv.glmnet).</dd>


<dt>log.lambda</dt>
<dd>numerical. Logarithm of lambda in case you don't want to use the optimal lambda.</dd>

</dl>

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coef_lambda: coef_lambda

Description

Usage

Arguments