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SeleMix  

Selective Editing via Mixture Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SeleMix", "1.0.3")



Attach the package and use:
library("SeleMix")
Maintained by
Teresa Buglielli
[Scholar Profile | Author Map]
First Published: 2011-09-21
Latest Update: 2020-11-29
Description:
Detection of outliers and influential errors using a latent variable model.
How to cite:
Teresa Buglielli (2011). SeleMix: Selective Editing via Mixture Models. R package version 1.0.3, https://cran.r-project.org/web/packages/SeleMix. Accessed 03 May. 2025.
Previous versions and publish date:
0.8.1 (2011-09-21 21:22), 0.9.0 (2013-03-25 15:46), 0.9.1 (2013-12-12 14:06), 1.0.1 (2016-11-22 16:57), 1.0.2 (2020-11-29 02:30)
Other packages that cited SeleMix R package
View SeleMix citation profile
Other R packages that SeleMix depends, imports, suggests or enhances
Complete documentation for SeleMix
Functions, R codes and Examples using the SeleMix R package
Some associated functions: ex1.data . ex2.data . ml.est . pred.y . sel.edit . sel.pairs . sel.plot . 
Some associated R codes: ml.est.R . post.prob.R . sel.plot.R . tensorizza.R .  Full SeleMix package functions and examples
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