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evidenceFactors  

Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("evidenceFactors", "1.8")



Attach the package and use:
library("evidenceFactors")
Maintained by
Bikram Karmakar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-24
Latest Update: 2020-02-20
Description:
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).
How to cite:
Bikram Karmakar (2016). evidenceFactors: Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies. R package version 1.8, https://cran.r-project.org/web/packages/evidenceFactors
Previous versions and publish date:
1.00 (2016-08-24 18:02)
Other packages that cited evidenceFactors R package
View evidenceFactors citation profile
Other R packages that evidenceFactors depends, imports, suggests or enhances
Functions, R codes and Examples using the evidenceFactors R package
Some associated functions: Gamlist . Plist . evidenceFactors-package . mtm . plotRejDecbyAssm . plotRetentionArea . retentionBrd . 
Some associated R codes: findBorder.R . multtrunc.R . plotRejDecbyAssm.R . plotRetentionArea.R . prodtrunc.R . rej.R . retentionBrd.R . truncP.R .  Full evidenceFactors package functions and examples
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