Package: refitME 1.3.1

Jakub Stoklosa

refitME: Measurement Error Modelling using MCEM

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".

Authors:Jakub Stoklosa [aut, cre], Wenhan Hwang [aut, ctb], David Warton [aut, ctb]

refitME_1.3.1.tar.gz
refitME_1.3.1.tar.gz(r-4.7-any)refitME_1.3.1.tar.gz(r-4.6-any)
refitME_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
refitME/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.88 score 15 scripts 295 downloads 8 exports 80 dependencies

Last updated from:247d52b0ca. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE180
source / vignettesOK207
linux-release-x86_64NOTE194
wasm-releaseOK123

Exports:anova_MCEMfit_glmlogLik_MCEMfit_lmMCEMfit_CRMCEMfit_gamMCEMfit_genMCEMfit_glmrefitMEwt.var

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071expmfarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmvtnormnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartS7sandwichscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsVGAMVGAMdataviridisLitewithrzoo