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MSmix  

Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MSmix", "1.0.2")



Attach the package and use:
library("MSmix")
Maintained by
Cristina Mollica
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-21
Latest Update: 2024-03-21
Description:
Fit and analysis of finite Mixtures of Mallows models with Spearman Distance for full and partial rankings with arbitrary missing positions. Inference is conducted within the maximum likelihood framework via Expectation-Maximization algorithms. Estimation uncertainty is tackled via diverse versions of bootstrapping as well as via Hessian-based standard errors calculations. The most relevant reference of the methods is Crispino, Mollica, Astuti and Tardella (2023) .
How to cite:
Cristina Mollica (2024). MSmix: Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings. R package version 1.0.2, https://cran.r-project.org/web/packages/MSmix. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-03-21 15:30), 1.0.1 (2024-04-09 11:30)
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Complete documentation for MSmix
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Full MSmix package functions and examples
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