CRAN/E | refitME

refitME

Measurement Error Modelling using MCEM

Installation

About

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".

Key Metrics

Version 1.2.2
R ≥ 4.1.0
Published 2021-08-03 968 days ago
Needs compilation? no
License GPL-2
CRAN checks refitME results

Downloads

Yesterday 4 0%
Last 7 days 26 -42%
Last 30 days 135 -2%
Last 90 days 568 +34%
Last 365 days 1.891 -15%

Maintainer

Maintainer

Jakub Stoklosa

j.stoklosa@unsw.edu.au

Authors

Jakub Stoklosa

aut / cre

Wenhan Hwang

aut / ctb

David Warton

aut / ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

refitME archive

Depends

R ≥ 4.1.0

Imports

MASS
SemiPar
mgcv
VGAM
VGAMdata
caret
expm
mvtnorm
sandwich
stats
dplyr
scales