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SenTinMixt  

Parsimonious Mixtures of MSEN and MTIN Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SenTinMixt", "1.0.0")



Attach the package and use:
library("SenTinMixt")
Maintained by
Salvatore D. Tomarchio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-20
Latest Update: 2021-10-20
Description:
Implements parsimonious mixtures of MSEN and MTIN distributions via expectation- maximization based algorithms for model-based clustering. For each mixture component, parsimony is reached via the eigen-decomposition of the scale matrices and by imposing a constraint on the tailedness parameter. This produces a family of 28 parsimonious mixture models for each distribution.
How to cite:
Salvatore D. Tomarchio (2021). SenTinMixt: Parsimonious Mixtures of MSEN and MTIN Distributions. R package version 1.0.0, https://cran.r-project.org/web/packages/SenTinMixt. Accessed 22 Dec. 2024.
Previous versions and publish date:
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View SenTinMixt citation profile
Other R packages that SenTinMixt depends, imports, suggests or enhances
Complete documentation for SenTinMixt
Functions, R codes and Examples using the SenTinMixt R package
Some associated functions: AIS . Hawks . Mixt.fit.init . Mixt.fit . dmsen . dmtin . rMixt . rmsen . rmtin . 
Some associated R codes: AIS.R . Hawks.R . Misc.R . Mixt.fit.R . Mixt.fit.init.R . dmsen.R . dmtin.R . rMixt.R . rmsen.R . rmtin.R .  Full SenTinMixt package functions and examples
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