Package: quadVAR 0.1.1

quadVAR: Quadratic Vector Autoregression

Estimate quadratic vector autoregression models with the strong hierarchy using the RAMP algorithm, compare the performance with linear models, and construct networks with partial derivatives.

Authors:Jingmeng Cui [aut, cre]

quadVAR_0.1.1.tar.gz
quadVAR_0.1.1.zip(r-4.5)quadVAR_0.1.1.zip(r-4.4)quadVAR_0.1.1.zip(r-4.3)
quadVAR_0.1.1.tgz(r-4.4-any)quadVAR_0.1.1.tgz(r-4.3-any)
quadVAR_0.1.1.tar.gz(r-4.5-noble)quadVAR_0.1.1.tar.gz(r-4.4-noble)
quadVAR_0.1.1.tgz(r-4.4-emscripten)quadVAR_0.1.1.tgz(r-4.3-emscripten)
quadVAR.pdf |quadVAR.html
quadVAR/json (API)
NEWS

# Install 'quadVAR' in R:
install.packages('quadVAR', repos = c('https://sciurus365.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sciurus365/quadvar/issues

On CRAN:

2.93 score 3 scripts 9 exports 102 dependencies

Last updated 1 hours agofrom:c0ac7d4ff4. Checks:OK: 6 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winERRORNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:%>%block_cvcompare_4_emolinear_quadVAR_networkpartial_plotquadVARquadVAR_to_dyn_eqnssim_4_emotrue_model_4_emo

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecommonmarkcorpcorcpp11crayondata.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetshttpuvigraphisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellncvregnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpromisespsychpurrrqgraphquadprogR6RAMPrappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesshinyshinythemessourcetoolsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxtableyaml