CRAN/E | mecor

mecor

Measurement Error Correction in Linear Models with a Continuous Outcome

Installation

About

Covariate measurement error correction is implemented by means of regression calibration by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331), efficient regression calibration by Spiegelman D, Carroll RJ & Kipnis V (2001) doi:10.1002/1097-0258(20010115)20:1%3C139::AID-SIM644%3E3.0.CO;2-K and maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009) doi:10.1002/sim.3713. Outcome measurement error correction is implemented by means of the method of moments by Buonaccorsi JP (2010, ISBN:1420066560) and efficient method of moments by Keogh RH, Carroll RJ, Tooze JA, Kirkpatrick SI & Freedman LS (2014) doi:10.1002/sim.7011. Standard error estimation of the corrected estimators is implemented by means of the Delta method by Rosner B, Spiegelman D & Willett WC (1990) doi:10.1093/oxfordjournals.aje.a115715 and Rosner B, Spiegelman D & Willett WC (1992) doi:10.1093/oxfordjournals.aje.a116453, the Fieller method described by Buonaccorsi JP (2010, ISBN:1420066560), and the Bootstrap by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331).

github.com/LindaNab/mecor

Key Metrics

Version 1.0.0
R ≥ 2.10
Published 2021-12-01 849 days ago
Needs compilation? no
License GPL-3
CRAN checks mecor results

Downloads

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Maintainer

Maintainer

Linda Nab

lindanab4@gmail.com

Authors

Linda Nab

Material

README
NEWS
Reference manual
Package source

Vignettes

mecor_mece
random_covme
standard_covme

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

mecor archive

Depends

R ≥ 2.10

Imports

lme4
lmerTest
numDeriv

Suggests

knitr
rmarkdown