CRAN/E | MEDseq

MEDseq

Mixtures of Exponential-Distance Models with Covariates

Installation

About

Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2021) doi:10.1111/rssa.12712. A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics and sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided.

Citation MEDseq citation info
cran.r-project.org/package=MEDseq
Bug report File report

Key Metrics

Version 1.4.1
R ≥ 4.0.0
Published 2023-12-12 107 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks MEDseq results

Downloads

Yesterday 29 +222%
Last 7 days 90 +8%
Last 30 days 327 -2%
Last 90 days 1.174 +30%
Last 365 days 3.868 -2%

Maintainer

Maintainer

Keefe Murphy

keefe.murphy@mu.ie

Authors

Keefe Murphy

aut / cre

Thomas Brendan Murphy

ctb

Raffaella Piccarreta

ctb

Isobel Claire Gormley

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

MEDseq

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

MEDseq archive

Depends

R ≥ 4.0.0

Imports

cluster
matrixStats ≥ 1.0.0
nnet ≥ 7.3-0
seriation
stringdist
TraMineR ≥ 1.6
WeightedCluster

Suggests

knitr
rmarkdown
viridisLite ≥ 0.4.0