Skip to content

evidenceFactors

1.8Package record

Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies

0packages depend
2.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Provides tools for integrated sensitivity analysis of evidence factors in observational studies. When an observational study allows for multiple independent or nearly independent inferences which, if vulnerable, are vulnerable to different biases, we have multiple evidence factors. This package provides methods that respect type I error rate control. Examples are provided of integrated evidence factors analysis in a longitudinal study with continuous outcome and in a case-control study. Karmakar, B., French, B., and Small, D. S. (2019)DOI:10.1093/biomet/asz003.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Bikram Karmakar <bkarmakar@ufl.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Bikram",
                    family = "Karmakar",
                    role = c("aut", "cre"),
                    email = "bkarmakar@ufl.edu")
as necessary.

CRAN check page ↗

Slowest check: 56 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.8
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
71%

Downloads

2.3K
CRAN downloads in the past year
Rank #21,414 · ~6/day · ~190/mo
Daily download trend is not available in this view yet.
23730 days
62590 days
2.3K1 year
Compare downloads with other packages →
Also on68 r2u1 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing evidenceFactors adds 1 package (0 with compiled code, 29 KB of source tarballs). Heaviest: sensitivitymv 29 KB.

Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
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 1.00 (2016)

Releases (2)

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
  • 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
  • 1.8Latest
    record
    2020-02-20 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.00
    record
    2016-08-24
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-08-24
Total releases
2 / 10 yrs
License
MIT + file LICENSE OSI · relicensed from GPL-2 in 1.8
Bundled data
1.2 KB / 3 files
Download size
27 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evidenceFactors")

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 evidenceFactors version 1.8 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy