Package: CausalMBSTS 0.1.1
CausalMBSTS: MBSTS Models for Causal Inference and Forecasting
Infers the causal effect of an intervention on a multivariate response through the use of Multivariate Bayesian Structural Time Series models (MBSTS) as described in Menchetti & Bojinov (2020) <arxiv:2006.12269>. The package also includes functions for model building and forecasting.
Authors:
CausalMBSTS_0.1.1.tar.gz
CausalMBSTS_0.1.1.zip(r-4.7-any)CausalMBSTS_0.1.1.zip(r-4.6-any)CausalMBSTS_0.1.1.zip(r-4.5-any)
CausalMBSTS_0.1.1.tgz(r-4.6-any)CausalMBSTS_0.1.1.tgz(r-4.5-any)
CausalMBSTS_0.1.1.tar.gz(r-4.7-any)CausalMBSTS_0.1.1.tar.gz(r-4.6-any)
CausalMBSTS_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CausalMBSTS/json (API)
| # Install 'CausalMBSTS' in R: |
| install.packages('CausalMBSTS', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fmenchetti/causalmbsts/issues
Last updated from:e4e699fad5 (on package/CausalMBSTS). Checks:7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 180 | ||
| source / vignettes | OK | 222 | ||
| linux-release | NOTE | 166 | ||
| macos-release | NOTE | 126 | ||
| macos-oldrel | NOTE | 142 | ||
| windows-devel | NOTE | 119 | ||
| windows-release | NOTE | 118 | ||
| windows-oldrel | NOTE | 126 | ||
| wasm-release | OK | 115 |
Exports:as.mbstsCausalMBSTSmcmcmodel
Dependencies:CholWishartclicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandKFASlabelinglatticelifecyclelmtestmagrittrMASSMatrixMixMatrixnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo