CRAN/E | MSmix

MSmix

Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings

Installation

About

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) doi:10.1007/s11222-023-10266-8.

Citation MSmix citation info

Key Metrics

Version 1.0.1
R ≥ 4.3.0
Published 2024-04-09 25 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks MSmix results

Downloads

Yesterday 5 0%
Last 7 days 36 -23%
Last 30 days 212 +114%
Last 90 days 302
Last 365 days 302

Maintainer

Maintainer

Cristina Mollica

cristina.mollica@uniroma1.it

Authors

Cristina Mollica

aut / cre / cph

Marta Crispino

aut / cph

Lucia Modugno

ctb

Luca Tardella

ctb

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrelnot available

x86_64

Old Sources

MSmix archive

Depends

R ≥ 4.3.0

Imports

BayesMallows ≥ 2.0.1
bmixture ≥ 1.7.0
data.table ≥1.15.0
dplyr ≥ 1.1.4
factoextra ≥ 1.0.7
fields ≥15.2.0
foreach ≥ 1.5.2
ggbump ≥ 0.1.0
ggplot2 ≥3.4.4
gmp ≥ 0.7.4
gridExtra ≥ 2.3.0
methods ≥4.3.1
Rankcluster ≥ 0.98.0
RColorBrewer ≥ 1.1.3
Rcpp ≥ 1.0.12
reshape ≥ 0.8.9
rlang ≥ 1.1.3
spsUtil ≥0.2.2
stats ≥ 4.3.1
stringr ≥ 1.5.1

Suggests

doParallel

LinkingTo

Rcpp