CRAN/E | COMBO

COMBO

Correcting Misclassified Binary Outcomes in Association Studies

Installation

About

Use frequentist and Bayesian methods to estimate parameters from a binary outcome misclassification model. These methods correct for the problem of "label switching" by assuming that correct outcome classification occurs in at least 50% of observations. A description of the analysis methods is available in Hochstedler and Wells (2023) .

Key Metrics

Version 1.0.0
R ≥ 4.2.0
Published 2023-04-19 376 days ago
Needs compilation? no
License MIT
License File
CRAN checks COMBO results

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Maintainer

Maintainer

Kimberly Hochstedler

kah343@cornell.edu

Authors

Kimberly Hochstedler

aut / cre

Material

README
Reference manual
Package source

Vignettes

COMBO Notation Guide
COMBO Notation Guide - Two-stage Misclassification Model

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.2.0

Imports

dplyr ≥ 1.0.10
tidyr ≥ 1.2.1
Matrix
> 1.4-1
rjags ≥ 4-13
turboEM ≥ 2021.1
SAMBA ≥ 0.9.0
utils ≥4.2.0

Suggests

knitr ≥ 1.40
kableExtra ≥ 1.3.4