CRAN/E | episensr

episensr

Basic Sensitivity Analysis of Epidemiological Results

Installation

About

Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. "Applying Quantitative Bias Analysis to Epidemiologic Data", ('Springer', 2021).

Citation episensr citation info
github.com/dhaine/episensr
dhaine.github.io/episensr/
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 4.0.0
Published 2023-08-30 211 days ago
Needs compilation? no
License GPL-2
CRAN checks episensr results

Downloads

Yesterday 41 +486%
Last 7 days 139 +16%
Last 30 days 509 -16%
Last 90 days 1.777 +28%
Last 365 days 6.302 +5%

Maintainer

Maintainer

Denis Haine

denis.haine@gmail.com

Authors

Denis Haine

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

Epidemiology

Vignettes

Probabilistic Sensitivity Analysis
Multiple Bias Modeling
Additional Sensitivity Analyses
Quantitative Bias Analysis for Epidemiologic Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

episensr archive

Depends

R ≥ 4.0.0
ggplot2 ≥ 3.4.0

Imports

triangle
trapezoid
actuar
dagitty
ggdag
boot
magrittr

Suggests

testthat
knitr
rmarkdown
aplore3
directlabels
tidyr
lattice
covr

Reverse Depends

apisensr