The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 [issues need fixing before 2025-09-03] |
| Reference manual: | dnn.html , 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 |
Please use the canonical form https://CRAN.R-project.org/package=dnn to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.