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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).
Version: | 1.0.0 |
Depends: | R (≥ 2.10) |
Imports: | lme4, lmerTest, numDeriv |
Suggests: | knitr, rmarkdown |
Published: | 2021-12-01 |
DOI: | 10.32614/CRAN.package.mecor |
Author: | Linda Nab |
Maintainer: | Linda Nab <lindanab4 at gmail.com> |
License: | GPL-3 |
URL: | https://github.com/LindaNab/mecor |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mecor results |
Reference manual: | mecor.pdf |
Vignettes: |
mecor_mece random_covme standard_covme |
Package source: | mecor_1.0.0.tar.gz |
Windows binaries: | r-devel: mecor_1.0.0.zip, r-release: mecor_1.0.0.zip, r-oldrel: mecor_1.0.0.zip |
macOS binaries: | r-release (arm64): mecor_1.0.0.tgz, r-oldrel (arm64): mecor_1.0.0.tgz, r-release (x86_64): mecor_1.0.0.tgz, r-oldrel (x86_64): mecor_1.0.0.tgz |
Old sources: | mecor archive |
Please use the canonical form https://CRAN.R-project.org/package=mecor to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.