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DESCRIPTION
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Package: prioritylasso
Type: Package
Title: Analyzing Multiple Omics Data with an Offset Approach
Version: 0.3.2
Author: Simon Klau, Roman Hornung, Alina Bauer, Jonas Hagenberg
Maintainer: Roman Hornung <[email protected]>
Description: Priority-LASSO (Klau et al., 2018) fits successive
Lasso models for several blocks of (omics) data with different
priorities and takes the predicted values as an offset for the
next block. Also offers options to deal with block-wise missingness
in multi-omics data.
Reference:
Klau, S., Jurinovic, V., Hornung, R., Herold, T., Boulesteix, A.-L. (2018)
Priority-Lasso: a simple hierarchical approach to the prediction of clinical
outcome using multi-omics data.
BMC Bioinformatics 19:322, <doi:10.1186/s12859-018-2344-6>.
Depends: R (>= 3.5.0)
License: GPL-2
LazyData: TRUE
Imports: survival, glmnet, utils, checkmate
RoxygenNote: 7.2.3
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown, pROC, bookdown, ipflasso, rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-28 13:50:42 UTC; roman
Repository: CRAN
Date/Publication: 2019-06-05 13:00:02 UTC