change_points_clustering

This repository contains the code for the replication of the results in the paper ....

https://github.com/lucadanese/change_points_clustering

Science Score: 44.0%

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    Low similarity (4.6%) to scientific vocabulary
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Repository

This repository contains the code for the replication of the results in the paper ....

Basic Info
  • Host: GitHub
  • Owner: lucadanese
  • Language: R
  • Default Branch: main
  • Size: 57.6 KB
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Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

ChangePointsClustering

This repository contains the code for replicating the code in the paper Model-based clustering of time-dependent observations with common structural changes (2024) by Corradin R., Danese L., KhudaBukhsh W.R. and Ongaro A. .

The scripts are divided in two groups, those starting with TS are for time series data, while those starting with EPI are for epidemiological data.

Time series data

  • TS01_functions.R contains all the functions needed
  • TS02maincode.R contains the main algorithm
  • TS03generatesimdata.R code to generate simulated data
  • TS04runsimulations.R run all the simulations
  • TS05pointestimate.R contains the code to get the point estimate of the partition

Epidemiological data

  • EPI01maincode.cpp contains the main algorithm
  • EPI02generatesimdata.R code to generate simulated EPI data
  • EPI03runsimulations.R run all the simulations
  • EPI04pointestimate.R contains the code to get the point estimate of the partition

Owner

  • Name: Luca Danese
  • Login: lucadanese
  • Kind: user

PhD Student in Statistics

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Danese"
  given-names: "Luca"
  orcid: "https://orcid.org/0000-0001-8444-8563"
title: "Change Points Clustering"
version: 1.0.0
doi: 
date-released: 2024-7-23
url: "https://github.com/lucadanese/Change_Points_Clustering"

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