Package: rACMEMEEV
Title: Multi-Variate Measurement Error Adjustment
Version: 1.0.1
Authors@R: 
    person("Alexander", "Lee", , "westford14@gmail.com", role = c("aut", "cre", "cph"))
Description: A methodology to perform multivariate measurement error
        adjustment using external validation data. Allows users to
        remove the attenuating effect of measurement error by
        incorporating a distribution of external validation data, and
        allows for plotting of all resultant adjustments. Sensitivity
        analyses can also be run through this package to test how
        different ranges of validity coefficients can impact the effect
        of the measurement error adjustment. The methods implemented in
        this package are based on the work by Muoka, A., Agogo, G.,
        Ngesa, O., Mwambi, H. (2020):
        <doi:10.12688/f1000research.27892.1>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BH, glmnet
Config/testthat/edition: 3
Imports: rjags, MCMCpack, ggplot2, reshape2, rstan, stats, utils,
        ggpubr, patchwork, bayesplot, doSNOW, foreach, snow,
        parallelly, dplyr
VignetteBuilder: knitr
URL: https://github.com/westford14/rACME-MEEV
BugReports: https://github.com/westford14/rACME-MEEV/issues
NeedsCompilation: no
Packaged: 2026-10-24 09:36:12 UTC; root
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-12-13 11:00:02 UTC
RemoteUrl: https://github.com/cran/rACMEMEEV
RemoteRef: HEAD
RemoteSha: b397ec646a5b859037ea20ff04a60dd737b4f22f