dnn: Deep Neural Network Tools for Probability and Statistic Models
Contains tools to build deep neural network with flexible users define loss function and probability models. Several applications included in this package are, 1) The (deepAFT) model, a deep neural network model for accelerated failure time (AFT) model for survival data. 2) The (deepGLM) model, a deep neural network model for generalized linear model (glm) for continuous, categorical and Poisson data.
| Version: |
0.0.6 |
| Depends: |
R (≥ 3.5.0), ggplot2, survival, Rcpp |
| Imports: |
methods |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2024-03-14 |
| Author: |
Bingshu E. Chen [aut, cre],
Patrick Norman [aut, ctb],
Wenyu Jiang [ctb],
Wanlu Li [ctb] |
| Maintainer: |
Bingshu E. Chen <bingshu.chen at queensu.ca> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
dnn citation info |
| CRAN checks: |
dnn results |
Documentation:
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