hiblup | Statistical Methods Under BLUP Framework

by xiaolei-lab Shell Version: Current License: GPL-3.0

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kandi X-RAY | hiblup Summary

hiblup is a Shell library. hiblup has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

HIBLUP (He-aI BLUP) is an user-friendly R package that provides estimated genetic value of each individual by maximizing the usage of information from pedigree records, genome, and phenotype, as well as all process-related functions, such as construction of relationship matrix, estimation of variance components with various algorithms, and estimation of SNP effects.

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Support

hiblup has a low active ecosystem.

It has 18 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 3 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hiblup is current.

Quality

hiblup has 0 bugs and 0 code smells.

Security

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

hiblup code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hiblup 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.

Reuse

hiblup releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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hiblup Key Features

No Key Features are available at this moment for hiblup.

hiblup Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install hiblup

v1.3.1 Linux & macOS Online Installer Windows User Manual
Microsoft R Open (MRO) could speed up the mathematical calculation of HIBLUP, it includes multi-threaded math libraries. These libraries make it possible for so many common R operations, such as matrix multiply/inverse, matrix decomposition, and some higher-level matrix operations, to compute in parallel and use all of the processing power available to reduce computation times. For Linux and macOS, our shell script could automatically install MRO with HIBLUP package included, and no root permission requirements. For Windows, we highly suggest users to install MRO for HIBLUP. Please follow the steps below to complete the installation:.
After installed successfully, restart the terminal or source the system path file, then type hiblup to start (the hiblup library will be automatically imported). For R script file (yourscript.r), it can be run directly by hiblup yourscript.r instead of Rscript yourscript.r.
After installed successfully, please library(hiblup) to start.
The data embedded in HIBLUP was derived from an animal breeding farm, it includes a total of 2934 genetic related individuals and 573 of them were genotyped with 50K SNP Chip. The genotype was coded as 0, 1, 2 for AA, AB, BB, respectively, and two traits(t1, t2) were recorded for 800 individuals. The Sire information and sex information can be treated as random effect and fixed effect, respectively. A quick start of HIBLUP to fit the above model is shown below:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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