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


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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