Other packages > Find by keyword >

integrity  

Tests Checking for Implausible Values in Clinical Trials Data
View on CRAN: Click here


Download and install integrity package within the R console
Install from CRAN:
install.packages("integrity")

Install from Github:
library("remotes")
install_github("cran/integrity")

Install by package version:
library("remotes")
install_version("integrity", "1.0")



Attach the package and use:
library("integrity")
Maintained by
Dario Strbenac
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-08
Latest Update: 2026-04-08
Description:
Sixteen individual participant data-specific checks in a report-style result. Items are automated where possible, and are grouped into eight domains, including unusual data patterns, baseline characteristics, correlations, date violations, patterns of allocation, internal and external inconsistencies, and plausibility of data. The package may be applied by evidence synthesists, editors, and others to determine whether a randomised controlled trial may be considered trustworthy to contribute to the evidence base that informs policy and practice. For more details, see Hunter et al. (2024) <doi:10.1002/jrsm.1738> and <doi:10.32614/RJ-2017-008> in the same issue of Research Synthesis Methods.
How to cite:
Dario Strbenac (2026). integrity: Tests Checking for Implausible Values in Clinical Trials Data. R package version 1.0, https://cran.r-project.org/web/packages/integrity. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 1.0 (2026-04-08 16:00)
Other packages that cited integrity R package
View integrity citation profile
Other R packages that integrity depends, imports, suggests or enhances
Complete documentation for integrity
Functions, R codes and Examples using the integrity R package
Full integrity package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA