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MEDseq
View on CRAN: Click
here
Download and install MEDseq package within the R console
Install from CRAN:
install.packages("MEDseq")
Install from Github:
library("remotes")
install_github("cran/MEDseq") Install by package version:
library("remotes")
install_version("MEDseq", "1.4.2") Attach the package and use:
library("MEDseq")
Maintained by
Keefe Murphy
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-24
Latest Update: 2025-03-10
Description:
Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2021) . 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.
How to cite:
Keefe Murphy (2019). MEDseq: Mixtures of Exponential-Distance Models with Covariates. R package version 1.4.2, https://cran.r-project.org/web/packages/MEDseq. Accessed 25 Aug. 2026.
Previous versions and publish date:
1.0.0 (2019-08-24 15:10), 1.0.1 (2019-12-10 22:40), 1.1.0 (2020-03-31 17:40), 1.1.1 (2020-05-12 22:10), 1.2.0 (2020-11-21 15:20), 1.2.1 (2021-01-06 20:30), 1.3.0 (2021-07-15 18:40), 1.3.1 (2021-10-14 17:50), 1.3.2 (2021-12-19 12:32), 1.3.3 (2022-03-28 17:30), 1.4.0 (2022-12-20 16:20), 1.4.1 (2023-12-12 18:10), (2026-07-09 08:09)
Other packages that cited MEDseq R package
View MEDseq citation profile
Other R packages that MEDseq depends,
imports, suggests or enhances
Complete documentation for MEDseq
Functions, R codes and Examples using
the MEDseq R package
Some associated functions: MEDseq-package . MEDseq_AvePP . MEDseq_clustnames . MEDseq_compare . MEDseq_control . MEDseq_entropy . MEDseq_fit . MEDseq_meantime . MEDseq_news . MEDseq_stderr . biofam . dbs . dist_freqwH . get_MEDseq_results . mvad . plot.MEDseq . predict.MEDgating . seqdef . wKModes .
Some associated R codes: Functions.R . Hidden_Functions.R . MEDseq.R . data.R . Full MEDseq package functions and examples
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