hdnom | Visualization Toolkit for Penalized Cox Models | Machine Learning library

 by   nanxstats R Version: v6.0.0 License: GPL-3.0

kandi X-RAY | hdnom Summary

kandi X-RAY | hdnom Summary

hdnom is a R library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. hdnom has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

hdnom creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
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            kandi-support Support

              hdnom has a low active ecosystem.
              It has 33 star(s) with 8 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 9 have been closed. On average issues are closed in 13 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hdnom is v6.0.0

            kandi-Quality Quality

              hdnom has no bugs reported.

            kandi-Security Security

              hdnom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              hdnom is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              hdnom releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            hdnom Key Features

            No Key Features are available at this moment for hdnom.

            hdnom Examples and Code Snippets

            No Code Snippets are available at this moment for hdnom.

            Community Discussions

            QUESTION

            Error in nomogram factor name(s) not in the design: model.type x time event x.df lambda pred.at
            Asked 2020-Dec-22 at 17:49

            I am using the "smart" dataset from the package "hdnom". Below mentioned is my code. I get the following error. Please let me know where I am going wrong. I am unable to understand the error.

            Error in nomogram(fit, model.type = "aenet", x, time, event, x.df, lambda = lambda, : factor name(s) not in the design: model.type x time event x.df lambda pred.at

            ...

            ANSWER

            Answered 2020-Jun-19 at 16:55

            In version 4.0 and 5.0 of hdnom the function hdnom.nomogram was available, as documented here and here. The syntax was:

            Source https://stackoverflow.com/questions/62474059

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install hdnom

            To download and install hdnom from CRAN:.

            Support

            Documentation: https://nanx.me/hdnom/Shiny app: http://hdnom.ioApp maker: https://github.com/nanxstats/hdnom-appmaker
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            CLONE
          • HTTPS

            https://github.com/nanxstats/hdnom.git

          • CLI

            gh repo clone nanxstats/hdnom

          • sshUrl

            git@github.com:nanxstats/hdnom.git

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