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: 2026-10-12 13:39:54 UTC; root
Repository: https://statapps.r-universe.dev
Date/Publication: 2025-08-21 18:30:02 UTC
RemoteUrl: https://github.com/cran/dnn
RemoteRef: HEAD
RemoteSha: 733b53ddd9974aa36236a5e7e3764876546f68fe