Package: MRFtools 0.0-2
Eric J. Petersen
MRFtools: Tools for Constructing and Plotting Markov Random Fields in R for Graphical Data
Utility functions for using Markov Random Field smooths in Generalized Additive Models fitted with the 'mgcv' package.
Authors:
MRFtools_0.0-2.tar.gz
MRFtools_0.0-2.zip(r-4.5)MRFtools_0.0-2.zip(r-4.4)MRFtools_0.0-2.zip(r-4.3)
MRFtools_0.0-2.tgz(r-4.5-any)MRFtools_0.0-2.tgz(r-4.4-any)MRFtools_0.0-2.tgz(r-4.3-any)
MRFtools_0.0-2.tar.gz(r-4.5-noble)MRFtools_0.0-2.tar.gz(r-4.4-noble)
MRFtools_0.0-2.tgz(r-4.4-emscripten)MRFtools_0.0-2.tgz(r-4.3-emscripten)
MRFtools.pdf |MRFtools.html✨
MRFtools/json (API)
| # Install 'MRFtools' in R: |
| install.packages('MRFtools', repos = c('https://gavinsimpson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/eric-pedersen/mrftools/issues
Last updated 3 days agofrom:c044f83a7e. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 13 2025 |
| R-4.5-win | OK | Mar 13 2025 |
| R-4.5-mac | OK | Mar 13 2025 |
| R-4.5-linux | OK | Mar 13 2025 |
| R-4.4-win | OK | Mar 13 2025 |
| R-4.4-mac | OK | Mar 13 2025 |
| R-4.4-linux | OK | Mar 13 2025 |
| R-4.3-win | OK | Mar 13 2025 |
| R-4.3-mac | OK | Mar 13 2025 |
Exports:get_configget_labelsget_mrfget_penaltyget_typemrf_penalty
Dependencies:apeBHclassclassIntclicolorspacecpp11DBIdigestdplyre1071fansifarvergenericsggokabeitoggplot2gluegratiagtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvnfastnlmepatchworkpillarpkgconfigproxypurrrR6RColorBrewerRcppRcppArmadillorlangs2scalessfstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a MRF penalty object to a matrix | as.matrix.mrf_penalty |
| Extract configuration details of an MRF penalty | get_config |
| Extract MRF node labels from an MRF penalty | get_labels |
| Extract a fitted MRF | get_mrf get_mrf.bam get_mrf.gam get_mrf.gamm get_mrf.list |
| Extract a MRF penalty matrix | get_penalty get_penalty.mrf_penalty |
| Extract the type of MRF from the penalty | get_type get_type.mrf_config get_type.mrf_penalty |
| Markov Random Field Penalty | mrf_penalty |
| MRF penalty from a dendrogram | mrf_penalty.dendrogram |
| Fully connected graph and random effect MRF penalties from a factor | mrf_penalty.factor |
| MRF penalty from a hclust object | mrf_penalty.hclust |
| First-order random walk MRF penalty from a numeric vector | mrf_penalty.numeric |
| MRF penalty from a phylogeny | mrf_penalty.phylo |
| MRF penalty from polygon or multi-polygon simple features | mrf_penalty.sf |
| MRF penalty from a SpatialPolygons | mrf_penalty.SpatialPolygons |
| MRF penalty from a SpatialPoylgonsDataFrame | mrf_penalty.SpatialPolygonsDataFrame |
