Cristin-resultat-ID: 1608057
Sist endret: 10. september 2018 11:27
Resultat
Vitenskapelig foredrag
2018

A versatile tool for simulating linear model data

Bidragsytere:
  • Raju Rimal
  • Trygve Almøy og
  • Solve Sæbø

Presentasjon

Navn på arrangementet: UseR-2018 Conference
Sted: Brisbane
Dato fra: 10. juli 2018
Dato til: 13. juli 2018

Arrangør:

Arrangørnavn: Monash University

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2018

Beskrivelse Beskrivelse

Tittel

A versatile tool for simulating linear model data

Sammendrag

Data science is generating enormous amounts of data, and new and advanced analytical methods are constantly being developed to cope with the challenge of extracting information from such “big-data”. Researchers often use simulated data to assess and document the properties of these new methods, and in this paper, we present an extension to the R-package simrel, which is a versatile and transparent tool for simulating linear model data with an extensive range of adjustable properties. The method is based on the concept of relevant components and is equivalent to the newly developed envelope model. It is a multi-response extension of R-package simrel which is available in R-package repository CRAN, and as simrel the new approach is essentially based on random rotations of latent relevant components to obtain a predictor matrix X, but in addition we introduce random rotations of latent components spanning a response space in order to obtain a multivariate response matrix Y. The properties of the linear relation between X and Y are defined by a small set of input parameters which allow versatile and adjustable simulations. The method is implemented as an update to the R-package simrel.

Bidragsytere

Aktiv cristin-person

Raju Rimal

  • Tilknyttet:
    Forfatter
    ved Kjemi, bioteknologi og matvitenskap ved Norges miljø- og biovitenskapelige universitet

Trygve Almøy

  • Tilknyttet:
    Forfatter
    ved Kjemi, bioteknologi og matvitenskap ved Norges miljø- og biovitenskapelige universitet

Solve Sæbø

  • Tilknyttet:
    Forfatter
    ved Sentraladministrasjonen ved Norges miljø- og biovitenskapelige universitet
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