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dnn  

Deep Neural Network Tools for Probability and Statistic Models
View on CRAN: Click here


Download and install dnn package within the R console
Install from CRAN:
install.packages("dnn")

Install from Github:
library("remotes")
install_github("cran/dnn")

Install by package version:
library("remotes")
install_version("dnn", "0.0.7")



Attach the package and use:
library("dnn")
Maintained by
Bingshu E. Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-14
Latest Update: 2025-09-03
Description:
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.
How to cite:
Bingshu E. Chen (2024). dnn: Deep Neural Network Tools for Probability and Statistic Models. R package version 0.0.7, https://cran.r-project.org/web/packages/dnn. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 0.0.6 (2024-03-14 21:50)
Other packages that cited dnn R package
View dnn citation profile
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Complete documentation for dnn
Functions, R codes and Examples using the dnn R package
Full dnn package functions and examples
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