Package: refitME
Title: Measurement Error Modelling using MCEM
Version: 1.2.2
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")))
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 (>= 4.1.0)
Imports: MASS, SemiPar, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm,
        sandwich, stats, dplyr, scales
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-08-03 06:41:42 UTC; jakubstoklosa
Author: Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>),
  Wenhan Hwang [aut, ctb],
  David Warton [aut, ctb]
Maintainer: Jakub Stoklosa <j.stoklosa@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-08-03 10:10:02 UTC
Built: R 4.2.3; ; 2024-04-24 03:30:05 UTC; windows
