CRAN/E | evidenceFactors

evidenceFactors

Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies

Installation

About

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)doi:10.1093/biomet/asz003.

Key Metrics

Version 1.8
Published 2020-02-20 1669 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Bikram Karmakar

Authors

Bikram Karmakar

Material

Reference manual
Package source

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

evidenceFactors archive

Imports

sensitivitymv