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causalsens

0.1.3Package record

Selection Bias Approach to Sensitivity Analysis for Causal Effects

0packages depend
3.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Matthew Blackwell <mblackwell@gov.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Matthew",
                    family = "Blackwell",
                    role = c("aut", "cre"),
                    email = "mblackwell@gov.harvard.edu.edu")
as necessary.

CRAN check page ↗

Slowest check: 57 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes
Help pages
5
Examples that run
100%1 run in a plain check
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
50%
Help pages citing references
40%

Downloads

3.3K
CRAN downloads in the past year
Rank #12,522 · ~9/day · ~277/mo
Daily download trend is not available in this view yet.
32030 days
88090 days
3.3K1 year
Compare downloads with other packages →
Also on108 r2u14 autocran74 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing causalsens adds no packages beyond those that come with R.

Depends (1)
R >= 3.0.0
Imports (3)
statsgraphicsgrDevices
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1 (2013)

Releases (4)

Pick two releases to compare their code metrics.

  • 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
  • 0.1.3Latest
    record
    2024-03-18 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.2
    record
    2018-06-18 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1.1
    record
    2015-07-01 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
Show 2 earlier eventsHide 2 earlier events
  • 0.1
    record
    2013-04-21
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-04-21
Total releases
4 / 13 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
37 KB / 2 files
Download size
415 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("causalsens")

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for causalsens version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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