Package: mlVAR 0.5.2
Sacha Epskamp
mlVAR: Multi-Level Vector Autoregression
Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.
Authors:
mlVAR_0.5.2.tar.gz
mlVAR_0.5.2.tar.gz(r-4.5-noble)mlVAR_0.5.2.tar.gz(r-4.4-noble)
mlVAR_0.5.2.tgz(r-4.4-emscripten)mlVAR_0.5.2.tgz(r-4.3-emscripten)
mlVAR.pdf |mlVAR.html✨
mlVAR/json (API)
NEWS
| # Install 'mlVAR' in R: |
| install.packages('mlVAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:0d0295e6f4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:fixedEffectsgetNetimportMplusmlVARmlVAR0mlVARcomparemlVARsamplemlVARsimrandomEffectssimulateVAR
Dependencies:abindarmaskpassbackportsbase64encbootbslibcachemcheckmatecliclusterclusterGenerationcodacodetoolscolorspacecorpcorcpp11curldata.tabledigestdplyrevaluatefansifarverfastDummiesfastmapfdrtoolfontawesomeforeachforeignFormulafsgenericsggplot2glassoglmnetglueGPArotationgraphicalVARgridExtragsubfngtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetshttrigraphisobanditeratorsjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixmemoisemgcvmimeminqamnormtMplusAutomationmunsellmvtnormnlmenloptrnnetnumDerivopensslpanderpbapplypbivnormpillarpkgconfigplyrpngprotopsychqgraphquadprogR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownrpartrstudioapisassscalesshapestringistringrsurvivalsystexregtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Gets a network structure | getNet |
| Import output from Mplus | importMplus |
| Multilevel VAR Estimation for Multiple Time Series | mlVAR |
| Fixed and random effects | fixedEffects randomEffects |
| Multilevel VAR Estimation for Multiple Time Series | mlVAR0 |
| print and summary functions for mlVAR0 objects | print.mlVAR0 summary.mlVAR0 |
| Compare mlVAR model fit | mlVARcompare |
| Simulator function given an mlVAR object | mlVARsample summary.mlVARsample |
| Simulates an mlVAR model and data | mlVARsim |
| Plot Method for mlVAR | plot.mlVAR plot.mlVARsim |
| Plot Method for mlVAR0 | plot.mlVAR0 |
| Simulate data from VAR model | simulateVAR |
| Summary of mlVAR results | print.mlVAR summary.mlVAR |