Package: IVPP 1.1.0
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.
Authors:
IVPP_1.1.0.tar.gz
IVPP_1.1.0.zip(r-4.5)IVPP_1.1.0.zip(r-4.4)IVPP_1.1.0.zip(r-4.3)
IVPP_1.1.0.tgz(r-4.5-any)IVPP_1.1.0.tgz(r-4.4-any)IVPP_1.1.0.tgz(r-4.3-any)
IVPP_1.1.0.tar.gz(r-4.5-noble)IVPP_1.1.0.tar.gz(r-4.4-noble)
IVPP_1.1.0.tgz(r-4.4-emscripten)
IVPP.pdf |IVPP.html✨
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 1 days agofrom:feb30bb90d. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 31 2025 |
| R-4.5-win | OK | Mar 31 2025 |
| R-4.5-mac | OK | Mar 31 2025 |
| R-4.5-linux | OK | Mar 31 2025 |
| R-4.4-win | OK | Mar 31 2025 |
| R-4.4-mac | OK | Mar 31 2025 |
| R-4.4-linux | OK | Mar 31 2025 |
| R-4.3-win | OK | Mar 31 2025 |
| R-4.3-mac | OK | Mar 31 2025 |
Exports:gen_panelGVARgen_tsGVARIVPP_panelgvarIVPP_tsgvarsim_panelGVARsim_tsGVAR
Dependencies:abindbackportsbase64encbitbit64bootbootnetbroombslibcachemcheckmateclassclicliprclusterclusterGenerationcocorcodetoolscolorspacecombinatcorpcorcorrplotcpp11crayondata.tabledigestdoParalleldplyre1071eigenmodelellipseevaluatefansifarverfastmapfdrtoolfontawesomeforcatsforeachforeignFormulafsfuturefuture.applyGAgdatagenericsggplot2glassoglmnetglobalsglueGPArotationgraphicalVARgridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphIsingFitIsingSamplerisobanditeratorsjomojpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelistenvlme4magrittrMASSMatrixmemoisemgcvmgmmicemimeminqamitmlmnormtmunsellmvtnormNetworkToolboxnetworktoolsnlmenloptrnnetnnlsnumDerivoptimxordinalpanparallellypbapplypbivnormpbvpillarpkgconfigplotrixplyrpngpolynomppcorpracmaprettyunitsprogressproxypsychpsychonetricspurrrpwrqgraphquadprogR.matlabR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasreshape2rlangrmarkdownroptimrpartrstudioapisassscalesshapesmacofsnowstringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8VCAvctrsviridisviridisLitevroomweightswithrwordcloudxfunyaml
