Other packages > Find by keyword >

tipr  

Tipping Point Analyses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tipr", "1.0.2")



Attach the package and use:
library("tipr")
Maintained by
Lucy D'Agostino McGowan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-28
Latest Update: 2024-02-06
Description:
The strength of evidence provided by epidemiological and observational studies is inherently limited by the potential for unmeasured confounding.We focus on three key quantities: the observed bound of the confidence interval closest to the null, the relationship between an unmeasured confounder and the outcome, for example a plausible residual effect size for an unmeasured continuous or binary confounder, and the relationship between an unmeasured confounder and the exposure, for example a realistic mean difference or prevalence difference for this hypothetical confounder between exposure groups. Building on the methods put forth by Cornfield et al. (1959), Bross (1966), Schlesselman (1978), Rosenbaum & Rubin (1983), Lin et al. (1998), Lash et al. (2009), Rosenbaum (1986), Cinelli & Hazlett (2020), VanderWeele & Ding (2017), and Ding & VanderWeele (2016), we can use these quantities to assess how an unmeasured confounder may tip our result to insignificance.
How to cite:
Lucy D'Agostino McGowan (2017). tipr: Tipping Point Analyses. R package version 1.0.2, https://cran.r-project.org/web/packages/tipr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:14), 0.1.1 (2017-11-28 19:33), 0.2.0 (2020-11-16 19:50), 0.3.0 (2021-09-10 10:00), 0.4.0 (2022-04-17 00:20), 0.4.1 (2022-05-06 01:20), 1.0.0 (2022-08-06 21:10), 1.0.1 (2022-09-05 14:50)
Other packages that cited tipr R package
View tipr citation profile
Other R packages that tipr depends, imports, suggests or enhances
Complete documentation for tipr
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
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  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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