SurvHiDim — High dimensional time to events data analysis with variable selection techniques.
We created this amazing R package to analyze high-dimensional time-to-events data. Thanks to machine learning we now know various variable selection techniques. Thus using Python and R we can implement variable sections easily. Most of the time the outcome variable types are dichotomous and continuous. Principle component analysis, factor analysis, LASSO, and ridge regression are
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