Further readings
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://fmenchetti.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fmenchetti/causalmbsts/issues
Last updated from:04fd3bcb29. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 156 | ||
| source / vignettes | OK | 181 | ||
| linux-release | NOTE | 140 | ||
| macos-release | NOTE | 163 | ||
| macos-oldrel | NOTE | 228 | ||
| windows-devel | NOTE | 121 | ||
| windows-release | NOTE | 115 | ||
| windows-oldrel | NOTE | 154 | ||
| wasm-release | OK | 102 |
Exports:as.mbstsCausalMBSTSmcmcmodel
Dependencies:CholWishartclicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandKFASlabelinglatticelifecyclelmtestmagrittrMASSMatrixMixMatrixnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo
