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 |
DOI: | 10.32614/CRAN.package.dnn |
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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