Package: CVN 1.1

Ronja Foraita

CVN: Covariate-Varying Networks

Inferring high-dimensional Gaussian graphical networks that change with multiple discrete covariates. Louis Dijkstra, Arne Godt, Ronja Foraita (2024) <doi:10.48550/arXiv.2407.19978>.

Authors:Louis Dijkstra [aut], Ronja Foraita [aut, cre], Lukas Burk [ctb], Leibniz Inst Prev Res & Epidemiology - BIPS [cph, fnd], Deutsche Forschungsgemeinschaft [fnd]

CVN_1.1.tar.gz
CVN_1.1.zip(r-4.7)CVN_1.1.zip(r-4.6)CVN_1.1.zip(r-4.5)
CVN_1.1.tgz(r-4.6-x86_64)CVN_1.1.tgz(r-4.6-arm64)CVN_1.1.tgz(r-4.5-x86_64)CVN_1.1.tgz(r-4.5-arm64)
CVN_1.1.tar.gz(r-4.7-arm64)CVN_1.1.tar.gz(r-4.7-x86_64)CVN_1.1.tar.gz(r-4.6-arm64)CVN_1.1.tar.gz(r-4.6-x86_64)
CVN_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CVN/json (API)

# Install 'CVN' in R:
install.packages('CVN', repos = c('https://bips-hb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bips-hb/cvn/issues

Pkgdown/docs site:https://bips-hb.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • grid - Data for a grid of graphs

On CRAN:

Conda:

graphical-modelshigh-dimensional-statisticsnetwork-analysiscpp

2.60 score 8 scripts 27 exports 65 dependencies

Last updated from:7d878b78d4. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK152
linux-devel-x86_64OK214
source / vignettesOK177
linux-release-arm64OK151
linux-release-x86_64OK157
macos-release-arm64OK99
macos-release-x86_64OK214
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK182
windows-develOK137
windows-releaseOK145
windows-oldrelOK134
wasm-releaseOK124

Exports:%>%combine_cvncombine_cvn_interpolatedcreate_edges_visnetworkcreate_nodes_visnetworkcreate_weight_matrixCVNcvn_edge_summarydetermine_information_criterion_cvnextract_cvnfind_core_graphfind_unique_edgesgenlasso_wrapperhamming_distancehamming_distance_adj_matriceshd_weight_matrixinterpolatematrix_A_inner_ADMMplot_hamming_distancesplot_hamming_distances_cvnplot_information_criterionplot_weight_matrixrelative_difference_precision_matricesset_attributes_to_edges_visnetworkstrip_cvnvisnetworkvisnetwork_cvn

Dependencies:base64encbslibcachemclicodetoolscpp11crayondigestdoParalleldplyrevaluatefarverfastmapfontawesomeforeachfsgenericsggplot2glassogluegtablehighrhmshtmltoolshtmlwidgetsigraphisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimepillarpkgconfigplyrprettyunitsprogressR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownS7sassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisLitevisNetworkwithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Covariate-varying NetworksCVN-package
Combine CVNs of size 1combine_cvn
Combine CVN object with interpolated CVN objectcombine_cvn_interpolated
Create a 'data.frame' for the Edges for 'visNetwork'create_edges_visnetwork
Nodes for the 'visNetwork' packagecreate_nodes_visnetwork
Different Weight Matricescreate_weight_matrix
Estimating a Covariate-Varying Network (CVN)CVN
Edge Overviewcvn_edge_summary
Information Criteria for a 'cvn' objectdetermine_information_criterion_cvn
Extract CVNextract_cvn
The Core Graphfind_core_graph
Unique Edgesfind_unique_edges
Generalized LASSOgenlassoRcpp
Data for a grid of graphs (3 x 3)grid
Structural Hamming Distance for a 'cvn' Objecthamming_distance
Structural Hamming Distancehamming_distance_adj_matrices
Heatmap Plot of the Weight Matrixhd_weight_matrix
Interpolation of a Graphinterpolate
Determine matrix A for inner-ADMM for the Z-update stepmatrix_A_inner_ADMM
Heat Map of the Distances between Graphsplot_hamming_distances
Heatmaps for a CVNplot_hamming_distances_cvn
Heat Map of an Information Criterion (AIC or BIC)plot_information_criterion
Plot weight matrix as a gridplot_weight_matrix
Plot Function for CVN Object Classplot.cvn
Print CVNprint.cvn
The Relative Difference between two Precision Matricesrelative_difference_precision_matrices
Add Attributes to Subset of Edges for 'visNetwork'set_attributes_to_edges_visnetwork
Strip CVNstrip_cvn
The Z-update StepupdateZRcpp
A 'visNetwork' plotvisnetwork
All 'visNetwork' plots for a CVN objectvisnetwork_cvn