Software to build and train two layer feed-forward artificial neural networks using bayesian methods for weight training. The software impliments the No-U-Turn (NUTS) sampler and Hamiltonian Monte Carlo with dual averaging. Estimation of hyperparameter values can be done through the evidence procedure. This package can be used for multiple statistical models including, linear/multiple regression, logistic regression, classification, survival analysis, among others.
Package details |
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Maintainer | |
License | GPL-3 |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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