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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 |
| Reference manual: | dnn.pdf |
| Package source: | dnn_0.0.6.tar.gz |
| Windows binaries: | r-devel: dnn_0.0.6.zip, r-release: dnn_0.0.6.zip, r-oldrel: dnn_0.0.6.zip |
| macOS binaries: | r-release (arm64): dnn_0.0.6.tgz, r-oldrel (arm64): dnn_0.0.6.tgz, r-release (x86_64): dnn_0.0.6.tgz, r-oldrel (x86_64): dnn_0.0.6.tgz |
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