Jesse-Islam/cbnn: Case-Base Neural networks
Case-Base Neural Networks (CBNN) as a flexible approach to neural network survival analysis. By sampling survival data into discrete moments, methods that predict probability may be used in a survival context that were not possible before.
Getting started
Browse package contents
Package details |
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| Author | Jesse Islam |
| Maintainer | The package maintainer <jesse.islam@mail.mcgill.ca> |
| License | GPL-2 + file LICENSE |
| Version | 0.2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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