Package: refitME
Title: Measurement Error Modelling using MCEM
Version: 1.2.0
Authors@R: 
  c(person(given = "Jakub",
           family = "Stoklosa",
           role = c("aut", "cre"),
           email = "j.stoklosa@unsw.edu.au",
           comment = c(ORCID = "0000-0002-6523-4524")),
    person(given = "Wenhan",
           family = "Hwang",
           role = c("aut", "ctb")),
    person(given = "David",
           family = "Warton",
           role = c("aut", "ctb")),
    person(given = "Jeremy",
           family = "Vanderwal",
           role = "ctb",
           email = "jjvanderwal@@gmail.com",
           comment = c("Used the wt.var() function written by Jeremy VanDerWal")))
Description: Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".
Depends: R (>= 4.0.0)
Imports: MASS, SemiPar, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm,
        sandwich, stats, dplyr
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-04-25 11:15:06 UTC; z3409479
Author: Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>),
  Wenhan Hwang [aut, ctb],
  David Warton [aut, ctb],
  Jeremy Vanderwal [ctb] (Used the wt.var() function written by Jeremy
    VanDerWal)
Maintainer: Jakub Stoklosa <j.stoklosa@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-04-26 08:30:03 UTC
Built: R 4.0.2; ; 2021-04-27 11:16:11 UTC; unix
