ChuanHong/solid-copy: A Divide-and-Conquer Method for Sparse Risk Prediction and Evaluation
The package consists 1) a screening and one-step linearization infused DAC (SOLID) algorithm to fit sparse logistic regression to massive datasets, and 2) a modified cross-validation (MCV) that utilizes the side products of the SOLID hence substantially reduce the computational burden.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1.2 |
| URL | https://github.com/celehs/solid |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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