small themeroot fix
Initial version of package "stabs" which currently implements:
- a function stabsel.matrix() to fit Lasso and stepwise models directly with stability selection
- a function stabsel.mboost() to apply stability selection to a fitted boosting model
- a function stabsel_parameters() to compute the error bounds of stability selection
Additionally, print and plot functions are implemented.
- added args.fitfun to specify further arguments to the fitter
- started formula interface
- added stability paths to fitted model
- added subsampling method (no longer rely on mboost)
- added x- and y-labs to plot plot function
- changed default fitting function to lars.lasso
- explicitly specify packages for fit function via pkg::function
- moved all packages that can be used with stabs to "Enhances:"
- export print.stabsel
-updated manual
- added parallel to NAMESPACE
- added manual for subsample()
- added inst/NEWS.Rd and ChangeLog
- updated DESCRIPTION
- add Release SOPs and some helper files
- Release Version 0.1-0
- added .Rbuildignore and .RbuildignoreCRAN
- exported run_stabsel to make it accessible by other packages
- stabs now supports gamboostLSS
- added manual for run_stabsel()
- changed regtest-inference.R
- fixed manual of stabsel_parameters()
- changed output from "base-learner" to "variable"
- added new lasso based fit function where the q strongest predictors
  (according to the coefficient size) are selected.
Added output that states the significance level
- added reference to stability selection paper
- added CITATION file
updated .Rout.save files
- moved selected method from mboost to stabs
- added method selected.stabsel
- added the function stabsel.stabsel to compute (new) parameter combinations
  for a fitted stabsel object
- fixed bug in stabsel.stabsel (call was not properly corrected)
- added functionality to extract parameters from fitted stabsel object:
  use parameters() or stabsel_parameters()
- tweaked print methods a bit
- added specifiedPFER to stabsel and stabsel_parameter objects