Package: IVPP 1.1.2
IVPP: Invariance Partial Pruning Test
An implementation of the Invariance Partial Pruning (IVPP) approach described in Du, X., Johnson, S. U., Epskamp, S. (2025) The Invariance Partial Pruning Approach to The Network Comparison in Longitudinal Data. IVPP is a two-step method that first test for global network structural difference with invariance test and then inspect specific edge difference with partial pruning. The package also allows you to compute centrality measures and use radar chart to plot. Analysis of bridge centralities by community pairs is also possible (e.g., the bridge strength from depression to anxiety, and from depression to panic disorder).
Authors:
IVPP_1.1.2.tar.gz
IVPP_1.1.2.zip(r-4.7)IVPP_1.1.2.zip(r-4.6)IVPP_1.1.2.zip(r-4.5)
IVPP_1.1.2.tgz(r-4.6-any)IVPP_1.1.2.tgz(r-4.5-any)
IVPP_1.1.2.tar.gz(r-4.7-any)IVPP_1.1.2.tar.gz(r-4.6-any)
IVPP_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
IVPP/json (API)
NEWS
| # Install 'IVPP' in R: |
| install.packages('IVPP', repos = c('https://xinkaidupsy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xinkaidupsy/ivpp/issues
Last updated from:f3eeb226ff. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 226 | ||
| source / vignettes | OK | 247 | ||
| linux-release-x86_64 | OK | 229 | ||
| macos-release-arm64 | OK | 151 | ||
| macos-oldrel-arm64 | OK | 225 | ||
| windows-devel | OK | 180 | ||
| windows-release | OK | 135 | ||
| windows-oldrel | OK | 153 | ||
| wasm-release | OK | 175 |
Exports:bridge_by_communitycentralitycentrality_radargen_panelGVARgen_tsGVARIVPP_panelgvarIVPP_tsgvarsim_panelGVARsim_tsGVAR
Dependencies:abindbackportsbase64encbitbit64bootbootnetbroombslibcachemcheckmateclassclicliprclusterclusterGenerationcocorcodetoolscolorspacecombinatcorpcorcorrplotcpp11crayondata.tabledigestdoParalleldplyre1071eigenmodelellipseevaluatefarverfastmapfdrtoolfmsbfontawesomeforcatsforeachforeignFormulafsfuturefuture.applyGAgdatagenericsggplot2glassoglassoFastglmnetglobalsglueGPArotationgraphicalVARgridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphIsingFitIsingSamplerisobanditeratorsjomojpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelistenvlme4magrittrmantarMASSmathjaxrMatrixmemoisemgcvmgmmicemimeminqamitmlmnormtmvtnormNetworkToolboxnetworktoolsnlmenloptrnnetnnlsnumDerivoptimxordinalpanparallellypbapplypbivnormpbvpillarpkgconfigplotrixplyrpngpolynomppcorpracmaprettyunitsprogressproxypsychpsychonetricspurrrpwrqgraphquadprogR.matlabR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasreshape2rlangrmarkdownroptimrpartrstudioapiS7sassscalesshapesmacofsnowstringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8VCAvctrsviridisLitevroomweightswithrwordcloudxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bridge centrality by target community | bridge_by_community |
| Centrality (degree/EI) and bridge centrality for an network matrix | centrality |
| Radar plot for selected centrality measures | centrality_radar |
| Generate a (multi-group) panelGVAR model | gen_panelGVAR |
| Generate time-series GVAR model for multiple (heterogeneous) individuals | gen_tsGVAR |
| The invariance partial pruning (IVPP) algorithm for panel GVAR models | IVPP_panelgvar |
| The invariance partial pruning (IVPP) algorithm for idiographic GVAR models | IVPP_tsgvar |
| Simulate data for a (multi-group) panelGVAR model | sim_panelGVAR |
| Simulate data for a (multi-group) N = 1 GVAR model | sim_tsGVAR |
