README.md
In CenterForStatistics-UGent/xnet: Two-Step Kernel Ridge Regression for Network Predictions
xnet R package
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This is the github repo for the xnet package in R. The package implements
two-step kernel ridge regression, and a set of crossvalidation methods
described by Michiel Stock et al. ( https://doi.org/10.1093/bib/bby095 )
Please note this is work in progress. All suggestions/issues/feature requests are welcomed.
Installation
The package can be installed in R using the following code:
remotes::install_github("CenterForStatistics-UGent/xnet")
To install the dev version, use:
remotes::install_github("CenterForStatistics-UGent/xnet", ref = "devel")
CenterForStatistics-UGent/xnet documentation built on June 4, 2021, 4:52 p.m.
R Package Documentation
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xnet R package
| Main | Devel |
| :----: | :---: |
| | |
| | |
This is the github repo for the xnet package in R. The package implements two-step kernel ridge regression, and a set of crossvalidation methods described by Michiel Stock et al. ( https://doi.org/10.1093/bib/bby095 )
Please note this is work in progress. All suggestions/issues/feature requests are welcomed.
Installation
The package can be installed in R using the following code:
remotes::install_github("CenterForStatistics-UGent/xnet")
To install the dev version, use:
remotes::install_github("CenterForStatistics-UGent/xnet", ref = "devel")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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