Package: mecor 1.0.0

mecor: Measurement Error Correction in Linear Models with a Continuous Outcome

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).

Authors:Linda Nab

mecor_1.0.0.tar.gz
mecor_1.0.0.zip(r-4.7-any)mecor_1.0.0.zip(r-4.6-any)mecor_1.0.0.zip(r-4.5-any)
mecor_1.0.0.tgz(r-4.6-any)mecor_1.0.0.tgz(r-4.5-any)
mecor_1.0.0.tar.gz(r-4.7-any)mecor_1.0.0.tar.gz(r-4.6-any)
mecor_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mecor/json (API)

# Install 'mecor' in R:
install.packages('mecor', repos = c('https://lindanab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lindanab/mecor/issues

Datasets:
  • bloodpressure - PDAC blood pressure data [replicates study]
  • haemoglobin - Low-dose iron supplements haemoglobin data [internal outcome-validation study]
  • haemoglobin_ext - Haemoglobin external data [external outcome-validation study]
  • sim - Simulated dataset for the ipwm function
  • sodium - TONE sodium data [outcome-calibration study]
  • vat - NEO visceral adipose tissue data [internal covariate-validation study]
  • vat_ext - Visceral adipose tissue external data [external covariate-validation study]

On CRAN:

Conda:

linear-modelsmeasurement-errorstatistics

5.23 score 6 stars 19 scripts 288 downloads 1 mentions 5 exports 32 dependencies

Last updated from:6b99f5da12. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK186
source / vignettesOK198
linux-releaseOK206
macos-releaseOK209
macos-oldrelOK175
windows-develOK113
windows-releaseOK108
windows-oldrelOK96
wasm-releaseOK131

Exports:ipwmMeasErrorMeasErrorExtMeasErrorRandommecor

Dependencies:bootclicpp11farverggplot2gluegtableisobandlabelinglatticelifecyclelme4lmerTestMASSMatrixminqanlmenloptrnumDerivR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesvctrsviridisLitewithr

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