Package: bootnet 1.6
Sacha Epskamp
bootnet: Bootstrap Methods for Various Network Estimation Routines
Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for various estimation routines.
Authors:
bootnet_1.6.tar.gz
bootnet_1.6.zip(r-4.5)bootnet_1.6.zip(r-4.4)bootnet_1.6.zip(r-4.3)
bootnet_1.6.tgz(r-4.4-any)bootnet_1.6.tgz(r-4.3-any)
bootnet_1.6.tar.gz(r-4.5-noble)bootnet_1.6.tar.gz(r-4.4-noble)
bootnet_1.6.tgz(r-4.4-emscripten)bootnet_1.6.tgz(r-4.3-emscripten)
bootnet.pdf |bootnet.html✨
bootnet/json (API)
NEWS
# Install 'bootnet' in R: |
install.packages('bootnet', repos = c('https://sachaepskamp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sachaepskamp/bootnet/issues
Last updated 3 months agofrom:3ea321269d. Checks:7 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 21 2025 |
R-4.5-win | OK | Jan 21 2025 |
R-4.5-linux | OK | Jan 21 2025 |
R-4.4-win | OK | Jan 21 2025 |
R-4.4-mac | OK | Jan 21 2025 |
R-4.3-win | OK | Jan 21 2025 |
R-4.3-mac | OK | Jan 21 2025 |
Exports:binarizebootIncludebootnetbootnet_adalassobootnet_corbootnet_EBICglassobootnet_ggmModSelectbootnet_graphicalVARbootnet_hugebootnet_IsingFitbootnet_IsingSamplerbootnet_LoGobootnet_mgmbootnet_pcorbootnet_piecewiseIsingbootnet_relimpbootnet_SVAR_lavaanbootnet_TMFGbootThresholdcorStabilitydifferenceTestestimateNetworkgenGGMggmGeneratorIsingGeneratormultiversenetSimulatornullquantile_transformationrank_transformationreplicationSimulator
Dependencies:abindbackportsbase64encbitbit64bootbroombslibcachemcheckmateclassclicliprclustercocorcodetoolscolorspacecorpcorcorrplotcpp11crayondata.tabledigestdoParalleldplyre1071eigenmodelellipseevaluatefansifarverfastmapfdrtoolfontawesomeforcatsforeachforeignFormulafsgdatagenericsggplot2glassoglmnetglueGPArotationgridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphIsingFitIsingSamplerisobanditeratorsjomojpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixmemoisemgcvmgmmicemimeminqamitmlmnormtmunsellmvtnormNetworkToolboxnetworktoolsnlmenloptrnnetnnlsnumDerivordinalpanpbapplypbivnormpillarpkgconfigplotrixplyrpngpolynomppcorprettyunitsprogressproxypsychpurrrpwrqgraphquadprogR.matlabR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasreshape2rlangrmarkdownrpartrstudioapisassscalesshapesmacofsnowstringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8vctrsviridisviridisLitevroomweightswithrwordcloudxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bootstrap Methods for Various Network Estimation Routines | bootnet-package |
Binarizes a dataset | binarize |
Inclusion proportion graph | bootInclude |
Bootstrapped network estimation | bootnet |
Threshold network based on bootstrapped intervals | bootThreshold |
Correlation stability coefficient | corStability |
Bootstrapped difference test | differenceTest |
Estimate a network structure | bootnet_adalasso bootnet_cor bootnet_EBICglasso bootnet_ggmModSelect bootnet_GGMncv bootnet_graphicalVAR bootnet_huge bootnet_IsingFit bootnet_IsingSampler bootnet_LoGo bootnet_mgm bootnet_pcor bootnet_piecewiseIsing bootnet_relimp bootnet_SVAR_lavaan bootnet_TMFG estimateNetwork |
Generates a GGM small-world network. | genGGM |
Generates a function that simulates data from the Gaussian graphical model (GGM) | ggmGenerator |
Generates a function that simulates data from the Ising model | IsingGenerator |
Multiverse plot of bootnet results | multiverse |
Network Estimation Performance | netSimulator replicationSimulator |
netSimulator S3 methods | plot.netSimulator plot.replicationSimulator print.netSimulator print.replicationSimulator summary.netSimulator summary.replicationSimulator |
Returns NULL | null |
Plots bootnet results | plot.bootnet |
Plot method for bootnetResult objects | plot.bootnetResult |
Print method for bootnet and bootnetResult objects | print.bootnet print.bootnetResult summary.bootnetResult |
Summarize bootnet results | summary.bootnet |
Data transformation functions | quantile_transformation rank_transformation |