initialize_modeling_system_pro

<p>Initializes the environment and registers default survival models
(Lasso, Elastic Net, Ridge, RSF, StepCox, GBM, XGBoost, PLS).</p>

Provides a framework to build and evaluate diagnosis or
prognosis models using stacking, voting, and bagging ensemble
techniques with various base learners. The package also includes
tools for visualization and interpretation of models. The development
version of the package is available on 'GitHub' at
<https://github.com/xiaojie0519/E2E>. The methods
are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655>
on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1>
on stacking.

initialize_modeling_system_pro: Initialize Prognosis Modeling System

Description

Usage

Arguments