Package: dnn
Type: Package
Title: Deep Neural Network Tools for Probability and Statistic Models
Version: 0.0.7
Date: 2025-07-29
Author: Bingshu E. Chen [aut, cre],
  Patrick Norman [aut, ctb],
  Wenyu Jiang [ctb],
  Wanlu Li [ctb]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>
Authors@R: c(person(c("Bingshu", "E."), "Chen", role = c("aut", "cre"), email = "bingshu.chen@queensu.ca"), person("Patrick", "Norman", role = c("aut", "ctb")), person("Wenyu", "Jiang", role = "ctb"), person("Wanlu", "Li", role = "ctb"))
Depends: R (>= 3.5.0), ggplot2, lpl(>= 0.12), Rcpp, survival
Imports: methods
LinkingTo: Rcpp, RcppArmadillo
Description: Contains a robust set of tools designed for constructing deep neural networks, which are highly adaptable with user-defined loss function and probability models. It includes several practical applications, such as the (deepAFT) model, which utilizes a deep neural network approach to enhance the accelerated failure time (AFT) model for survival data. Another example is the (deepGLM) model that applies deep neural network to the generalized linear model (glm), accommodating data types with continuous, categorical and Poisson distributions.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2025-08-21 17:12:55 UTC; b3chen
Repository: CRAN
Date/Publication: 2025-08-21 18:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 07:01:17 UTC; unix
Archs: dnn.so.dSYM
