Other packages > Find by keyword >

MEDseq  

Mixtures of Exponential-Distance Models with Covariates
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]
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 07 Oct. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA