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-4.5)BVARverse_0.0.1.zip(r-4.4)BVARverse_0.0.1.zip(r-4.3)
BVARverse_0.0.1.tgz(r-4.4-any)BVARverse_0.0.1.tgz(r-4.3-any)
BVARverse_0.0.1.tar.gz(r-4.5-noble)BVARverse_0.0.1.tar.gz(r-4.4-noble)
BVARverse_0.0.1.tgz(r-4.4-emscripten)BVARverse_0.0.1.tgz(r-4.3-emscripten)
BVARverse.pdf |BVARverse.html✨
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 4 years agofrom:01bcb1fe60. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Dependencies:BVARclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
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 |