simpleEstimation

An internal function utilized by VSOLassoBag.

A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.

Chaoye Wang

VSOLassoBag

Variable Selection Oriented LASSO Bagging Algorithm

Jiaqi Liang

simpleEstimation function

<dl><dt>res.df</dt>
<dd>a dataframe with variables and observed frequency</dd>
<dt>bootN</dt>
<dd>an integer, bagging times</dd></dl>

Arguments

Parametric Statistical Test — simpleEstimation

<dl>

<dt>res.df</dt>
<dd>a dataframe with variables and observed frequency</dd>


<dt>bootN</dt>
<dd>an integer, bagging times</dd>

</dl>

simpleEstimation: Parametric Statistical Test

Description

Usage

Value

Arguments

References

Examples