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.
Provides graph-constrained regression methods in which regularization parameters are selected automatically via estimation of equivalent Linear Mixed Model formulation. 'riPEER' (ridgified Partially Empirical Eigenvectors for Regression) method employs a penalty term being a linear combination of graph-originated and ridge-originated penalty terms, whose two regularization parameters are ML estimators from corresponding Linear Mixed Model solution; a graph-originated penalty term allows imposing similarity between coefficients based on graph information given whereas additional ridge-originated penalty term facilitates parameters estimation: it reduces computational issues arising from singularity in a graph-originated penalty matrix and yields plausible results in situations when graph information is not informative. 'riPEERc' (ridgified Partially Empirical Eigenvectors for Regression with constant) method utilizes addition of a diagonal matrix multiplied by a predefined (small) scalar to handle the non-invertibility of a graph Laplacian matrix. 'vrPEER' (variable reducted PEER) method performs variable-reduction procedure to handle the non-invertibility of a graph Laplacian matrix.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.3.3) |
| Imports: | reshape2, ggplot2, nlme, boot, nloptr, rootSolve, psych, magic, glmnet |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-05-30 |
| Author: | Marta Karas [aut, cre], Damian Brzyski [ctb], Jaroslaw Harezlak [ctb] |
| Maintainer: | Marta Karas <marta.karass at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mdpeer results |
| Reference manual: | mdpeer.pdf |
| Vignettes: |
Intro and usage examples |
| Package source: | mdpeer_1.0.1.tar.gz |
| Windows binaries: | r-devel: mdpeer_1.0.1.zip, r-release: mdpeer_1.0.1.zip, r-oldrel: mdpeer_1.0.1.zip |
| macOS binaries: | r-release (arm64): mdpeer_1.0.1.tgz, r-oldrel (arm64): mdpeer_1.0.1.tgz, r-release (x86_64): mdpeer_1.0.1.tgz, r-oldrel (x86_64): mdpeer_1.0.1.tgz |
| Old sources: | mdpeer archive |
Please use the canonical form https://CRAN.R-project.org/package=mdpeer 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.