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refitME  

Measurement Error Modelling using MCEM
View on CRAN: Click here


Download and install refitME package within the R console
Install from CRAN:
install.packages("refitME")

Install from Github:
library("remotes")
install_github("cran/refitME")

Install by package version:
library("remotes")
install_version("refitME", "1.2.2")



Attach the package and use:
library("refitME")
Maintained by
Jakub Stoklosa
[Scholar Profile | Author Map]
First Published: 2021-04-26
Latest Update: 2021-08-03
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 For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".
How to cite:
Jakub Stoklosa (2021). refitME: Measurement Error Modelling using MCEM. R package version 1.2.2, https://cran.r-project.org/web/packages/refitME. Accessed 27 Mar. 2025.
Previous versions and publish date:
1.2.0 (2021-04-26 10:30), 1.2.1 (2021-06-28 07:20)
Other packages that cited refitME R package
View refitME citation profile
Other R packages that refitME depends, imports, suggests or enhances
Complete documentation for refitME
Functions, R codes and Examples using the refitME R package
Some associated functions: Corymbiaeximiadata . Framinghamdata . MCEMfit_CR . MCEMfit_gam . MCEMfit_gen . MCEMfit_glm . Priniadata . anova.refitME . anova_MCEMfit_glm . logLik.refitME . logLik_MCEMfit_lm . refitME . sqrt.na . wt.var . 
Some associated R codes: Full refitME package functions and examples
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