R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
konfound
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]
[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 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 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
Functions, R codes and Examples using
the konfound R package
Some associated functions: binary_dummy_data . concord1 . konfound . launch_shiny . mkonfound . mkonfound_ex . pkonfound . summary.konfound .
Some associated R codes: binary_dummy_data.R . concord1.R . helper_output_dataframe.R . helper_output_print.R . helper_output_table.R . helper_plot_correlation.R . helper_plot_threshold.R . konfound-glm-dichotomous.R . konfound-glm.R . konfound-lm.R . konfound-lmer.R . konfound.R . mkonfound-data.R . mkonfound.R . nonlinear_auxiliary.R . pkonfound.R . test_sensitivity.R . test_sensitivity_ln.R . tkonfound.R . zzz.R . Full konfound package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
stevedata
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Steve Miller (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
bbdetection
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Valeriy Zakamulin (view profile)
tibble
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kirill Müller (view profile)
wordnet
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kurt Hornik (view profile)
Rnmr1D
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Daniel Jacob (view profile)
27,806
R Packages
239,283
Dependencies
73,837
Author Associations
27,807
Publication Badges
