DESCRIPTION

Package: MTLComb
Title: multi-task learning combining calssification and regressin tasks with joint feature selection
Type: Package
Version: 0.9.9
Authors@R: c(person("Han", "Cao", email=c("hank9cao@gmail.com", "han.cao@zi-mannheim.de"), role=c("cre", "aut", "cph")), 
  person("Emanuel", "Schwarz", email="emanuel.schwarz@zi-mannheim.de", role="aut"))
Description: The core function is to estimate the entire regularization path with the joint feature selection, that is consistent to regression and calssification tasks. Based on this, the entire MTL analysis was supported. 
Depends: R (>= 4.1.3)
URL: https://github.com/transbioZI/MTLComb/
BugReports: https://github.com/transbioZI/MTLComb/issues
Imports: fmsb (>= 0.7.3), pROC (>= 1.18.0)
Date: 2022-07-08
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Author: Han Cao [cre, aut, cph],
  Emanuel Schwarz [aut]
Maintainer: Han Cao <hank9cao@gmail.com>