hdnom | Visualization Toolkit for Penalized Cox Models | Machine Learning library
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.
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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Security
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Support
hdnom has a low active ecosystem.
It has 33 star(s) with 8 fork(s). There are 7 watchers for this library.
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
Quality
hdnom has no bugs reported.
Security
hdnom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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.
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hdnom releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of hdnom
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of hdnom
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
Trending Discussions on hdnom
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 16:55Community 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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