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  "Title": "Simulation of Multivariate Linear Model Data",
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  "Description": "Researchers have been using simulated data from a\nmultivariate linear model to compare and evaluate different\nmethods, ideas and models. Additionally, teachers and educators\nhave been using a simulation tool to demonstrate and teach\nvarious statistical and machine learning concepts. This package\nhelps users to simulate linear model data with a wide range of\nproperties by tuning few parameters such as relevant latent\ncomponents. In addition, a shiny app as an 'RStudio' gadget\ngives users a simple interface for using the simulation\nfunction. See more on: Sæbø, S., Almøy, T., Helland, I.S.\n(2015) <doi:10.1016/j.chemolab.2015.05.012> and Rimal, R.,\nAlmøy, T., Sæbø, S. (2018)\n<doi:10.1016/j.chemolab.2018.02.009>.",
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  "URL": "https://simulatr.github.io/simrel/",
  "Repository": "https://simulatr.r-universe.dev",
  "Date/Publication": "2022-11-15 21:10:55 UTC",
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  "Author": "Raju Rimal [aut, cre] (ORCID: <https://orcid.org/0000-0001-6097-0285>),\nSolve Sæbø [aut, ths] (Original creator of the package, ORCID:\n<https://orcid.org/0000-0001-8699-4592>),\nKristian Hovde Liland [aut] (Contributor and coauthor of the univariate\nversion of simrel, ORCID: <https://orcid.org/0000-0001-6468-9423>)",
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