Facilitates data simulation from a multiple linear model with univariate or bivariate response 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. The package also contains the tools 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.
Package: | simrel |
Type: | Package |
Version: | 1.0-2 |
Date: | 2015-01-27 |
License: | GPL-2 |
Solve S<c3><a6>b<c3><b8> and Kristian H. Liland Maintainer: Solve S<c3><a6>b<c3><b8> <solve.sabo@nmbu.no>
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