Package: BVARverse 0.0.1

Lukas Vashold
BVARverse: Tidy Bayesian Vector Autoregression
Functions to prepare tidy objects from estimated models via 'BVAR' (see Kuschnig & Vashold, 2019 <doi:10.13140/RG.2.2.25541.60643>) and visualisation thereof. Bridges the gap between estimating models with 'BVAR' and plotting the results in a more sophisticated way with 'ggplot2' as well as passing them on in a tidy format.
Authors:
BVARverse_0.0.1.tar.gz
BVARverse_0.0.1.zip(r-4.7)BVARverse_0.0.1.zip(r-4.6)BVARverse_0.0.1.zip(r-4.5)
BVARverse_0.0.1.tgz(r-4.6-any)BVARverse_0.0.1.tgz(r-4.5-any)
BVARverse_0.0.1.tar.gz(r-4.7-any)BVARverse_0.0.1.tar.gz(r-4.6-any)
BVARverse_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BVARverse/json (API)
| # Install 'BVARverse' in R: |
| install.packages('BVARverse', repos = c('https://nk027.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nk027/bvarverse/issues
bayesiandata-sciencevector-autoregressions
Last updated from:01bcb1fe60. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 129 | ||
| macos-release-arm64 | OK | 139 | ||
| macos-oldrel-arm64 | OK | 164 | ||
| windows-devel | OK | 106 | ||
| windows-release | OK | 116 | ||
| windows-oldrel | OK | 99 | ||
| wasm-release | OK | 99 |
Dependencies:BVARclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrmvtnormpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Augment BVAR outputs and convert into a tibble | augment.bvar augment.bvar_fcast augment.bvar_irf |
| Quick ggplot2 plots for Bayesian VARs | bv_ggplot bv_ggplot.bvar bv_ggplot.bvar_chains bv_ggplot.bvar_fcast bv_ggplot.bvar_irf bv_ggplot.default |
| Tidy BVAR outputs and convert into a tibble | tidy.bvar tidy.bvar_coefs tidy.bvar_fcast tidy.bvar_irf |