Facilitates data simulation from a random regression model where the data properties can be controlled by a few input parameters. The data simulation is based on the concept of relevant latent components and relevant predictors, and was developed for the purpose of testing methods for variable selection for prediction. Included are also functions for designing computer experiments in order to investigate the effects of the data properties on the performance of the tested methods. The design is constructed using the Multi-level Binary Replacement (MBR) design approach which makes it possible to set up fractional designs for multi-factor problems with potentially many levels for each factor.
|Date of publication||2014-11-29 07:59:54|
|Maintainer||Solve Sb <firstname.lastname@example.org>|
|Package repository||View on CRAN|
|Installation||Install the latest version of this package by entering the following in R:
|mbrd: Function to create MBR-design.|
|mbrdsim: A function to set up a design for a given set of factors with...|
|simrel: Function for data simulation|
|simrel-package: Package for data simulation and design of computer...|
|simrelplot: A function for plotting of an object of class simrel as...|
|mbrd||Man page Source code|
|mbrdsim||Man page Source code|
|simrel||Man page Source code|
|simrelplot||Man page Source code|
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