R Observatory: Metrics for CausalMBSTS version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CausalMBSTS

0.1.1

MBSTS Models for Causal Inference and Forecasting

0packages depend

3.1Kdownloads / year

74.8%test coverage

0/13checks pass

Overview

About

Maintained by Fiammetta MenchettiFirst published 2020-11-032 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("CausalMBSTS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("FMenchetti/CausalMBSTS")

Development version from FMenchetti/CausalMBSTS. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-causalmbsts

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-CausalMBSTS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-CausalMBSTS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13NOTE

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64
NOTE r-oldrel-macos-arm64
NOTE r-oldrel-macos-x86_64
NOTE r-oldrel-windows-x86_64
NOTE r-patched-linux-x86_64
NOTE r-release-linux-x86_64
NOTE r-release-macos-arm64
NOTE r-release-macos-x86_64
NOTE r-release-windows-x86_64

Slowest check: 3.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.04

74.8%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

NOTE2026-03-10
0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 100%
References docs: 0%

Downloads

3.1K

CRAN downloads in the past year

Rank #12,275 · ~8/day · ~258/mo

Releases R versions

Daily download trend is not available in this view yet.

20630 days

80890 days

3.1K1 year

Compare downloads with other packages →

Also on131 r2u33 autocran35 c2d4u

Repository

GitHub ↗ fmenchetti/causalmbsts

16Stars

0Forks

6Open issues

0Open PRs

0Releases

97Commits

4Contributors

97 commits · Last activity 2021-09-26

Stars over time

2023-04-12 · 162026-07-07 · 16

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fmenchetti/causalmbsts on 2026-08-16.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.5.0KFAS

Imports (5)

CholWishart forecastMASSMatrixMixMatrix

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Fiammetta Menchetti

Author, Maintainer

Authors (2)

Fiammetta Menchetti

Author, Maintainer

Iavor Bojinov

Author

Contributors (2)

Victoria L. Prince

Contributor

Ista Zahn

Contributor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1.1Latest
2021-10-06 · current release · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.0
2020-11-03
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-11-03
Total releases: 2 / 6 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Download size: 175 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Causal Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CausalMBSTS")

Format

Menchetti, F., Bojinov, I., Prince, V. L., & Zahn, I. (2021). CausalMBSTS: MBSTS Models for Causal Inference and Forecasting (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.CausalMBSTS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CausalMBSTS version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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