Other packages > Find by keyword >

konfound  

Quantify the Robustness of Causal Inferences
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("konfound", "1.0.3")



Attach the package and use:
library("konfound")
Maintained by
Joshua M Rosenberg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-06
Latest Update: 2025-05-28
Description:
Statistical methods that quantify the conditions necessary to alter inferences, also known as sensitivity analysis, are becoming increasingly important to a variety of quantitative sciences. A series of recent works, including Frank (2000) and Frank et al. (2013) extend previous sensitivity analyses by considering the characteristics of omitted variables or unobserved cases that would change an inference if such variables or cases were observed. These analyses generate statements such as "an omitted variable would have to be correlated at xx with the predictor of interest (e.g., treatment) and outcome to invalidate an inference of a treatment effect". Or "one would have to replace pp percent of the observed data with null hypothesis cases to invalidate the inference". We implement these recent developments of sensitivity analysis and provide modules to calculate these two robustness indices and generate such statements in R. In particular, the functions konfound(), pkonfound() and mkonfound() allow users to calculate the robustness of inferences for a user's own model, a single published study and multiple studies respectively.
How to cite:
Joshua M Rosenberg (2018). konfound: Quantify the Robustness of Causal Inferences. R package version 1.0.3, https://cran.r-project.org/web/packages/konfound. Accessed 09 Mar. 2026.
Previous versions and publish date:
0.1.0 (2018-04-06 18:12), 0.1.1 (2019-01-21 17:40), 0.1.2 (2019-04-12 13:52), 0.2.1 (2020-02-26 15:50), 0.2.2 (2020-08-18 09:00), 0.3.0 (2020-12-17 18:30), 0.4.0 (2021-06-01 09:40), 0.5.0 (2024-03-18 15:40), 0.5.1 (2024-04-12 23:10), 1.0.1 (2024-10-08 00:30), 1.0.2 (2024-10-17 18:10)
Other packages that cited konfound R package
View konfound citation profile
Other R packages that konfound depends, imports, suggests or enhances
Complete documentation for konfound
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggblanket  
Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions. ...
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  
Rgb  
The R Genome Browser
Classes and methods to efficiently handle (slice, annotate, draw ...) genomic features (such as gene ...
Download / Learn more Package Citations See dependency  
pooling  
Fit Poolwise Regression Models
Functions for calculating power and fitting regression models in studies where a biomarker is measur ...
Download / Learn more Package Citations See dependency  
rzentra  
Client for the 'ZENTRA Cloud' API
Provides functionality to read settings, statuses and readings of weather stations from the 'ZENTRA ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

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