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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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MD3F Simulation and Application Code

Authors: Zielinski, Jessica; Alekseyenko, Alexander;

MD3F Simulation and Application Code

Abstract

MD3F is a method developed to model longitudinal, multivariate trajectories for high-dimensional data. Herein we include reference code for the simulation, bias, and application analyses reported in our manuscript, “MD3F: Multivariate Distance Drift Diffusion Framework for High-Dimensional Datasets.” Data is made available to supplement the code where needed (see folder contents below). Folder Contents: 1. MD3F_Simulation_Code.Rmd – Simulation R markdown file. Simulation results with 10k replicates included in MD3F_Simulation_Data.RData file. 2. MD3F_Kostic_DataCode.Rmd – MD3F Application to Kostic data (available below). 3. MD3F_BiasEstimation_Code.Rmd – Bias estimation and plotting examples. 4. KosticData_withSampleData.Rdata (see above) 5. MD3F_Simulation_Data.RData (see above)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average