Package: mlVAR 0.6.1

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:Sacha Epskamp [aut, cre], Marie K. Deserno [aut], Laura F. Bringmann [aut], Myrthe Veenman [ctb]

mlVAR_0.6.1.tar.gz
mlVAR_0.6.1.zip(r-4.7)mlVAR_0.6.1.zip(r-4.6)mlVAR_0.6.1.zip(r-4.5)
mlVAR_0.6.1.tgz(r-4.6-any)mlVAR_0.6.1.tgz(r-4.5-any)
mlVAR_0.6.1.tar.gz(r-4.7-any)mlVAR_0.6.1.tar.gz(r-4.6-any)
mlVAR_0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlVAR/json (API)
NEWS

# Install 'mlVAR' in R:

install.packages('mlVAR', repos = c('https://sachaepskamp.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sachaepskamp/mlvar/issues

On CRAN:

6.99 score 6 stars 2 packages 106 scripts 1.2k downloads 6 mentions 12 exports 118 dependencies

Last updated from:e43dab5a1a. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	239
source / vignettes	OK	263
linux-release-x86_64	WARNING	271
macos-release-arm64	WARNING	122
macos-oldrel-arm64	WARNING	98
windows-devel	WARNING	138
windows-release	WARNING	130
windows-oldrel	WARNING	146
wasm-release	OK	178

Exports:fixedEffects getNet importMplus mlGGM mlVAR mlVAR0 mlVARcompare mlVARsample mlVARsim randomEffects resimulate simulateVAR

Dependencies:abind arm askpass backports base64enc boot bslib cachem checkmate cli cluster clusterGeneration coda codetools colorspace corpcor cpp11 curl data.table digest dplyr evaluate farver fastDummies fastmap fdrtool fontawesome foreach foreign Formula fs generics ggplot2 glasso glmnet glue GPArotation graphicalVAR gridExtra gsubfn gtable gtools highr Hmisc htmlTable htmltools htmlwidgets httr igraph isoband iterators jpeg jquerylib jsonlite knitr labeling lattice lavaan lifecycle lme4 magrittr MASS Matrix memoise mime minqa mnormt MplusAutomation mvtnorm nlme nloptr nnet numDeriv openssl pander pbapply pbivnorm pillar pkgconfig plyr png proto psych qgraph quadprog R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas reshape2 rlang rmarkdown rpart rstudioapi S7 sass scales shape stringi stringr survival sys texreg tibble tidyselect tinytex utf8 vctrs viridisLite withr xfun xtable yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Gets a network structure	getNet
Import output from Mplus	importMplus
Multi-Level Gaussian Graphical Model Estimation	mlGGM plot.mlGGM print.mlGGM summary.mlGGM
Multilevel VAR Estimation for Multiple Time Series	mlVAR predict.mlVAR residuals.mlVAR resimulate resimulate.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