* installing *source* package 'ITALICS' ...
** R
** inst
** preparing package for lazy loading
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Have fun with GLAD
For smoothing it is possible to use either
the AWS algorithm (Polzehl and Spokoiny, 2002)
or the HaarSeg algorithm (Ben-Yaacov and Eldar, Bioinformatics, 2008)
If you use the package with AWS, please cite:
Hupe et al. (Bioinformatics, 2004) and Polzehl and Spokoiny (2002)
If you use the package with HaarSeg, please cite:
Hupe et al. (Bioinformatics, 2004) and (Ben-Yaacov and Eldar, Bioinformatics, 2008)
For fast computation it is recommanded to use
the daglad function with smoothfunc=haarseg
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New options are available in daglad: see help for details.
Loading required package: oligoClasses
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material. To view, type
'openVignette()'. To cite Bioconductor, see
'citation("Biobase")' and for packages 'citation(pkgname)'.
================================================================================
Welcome to oligoClasses version 1.10.0
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Large dataset support for 'oligo/crlmm': Disabled
- Load 'ff'
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Parallel computing support for 'oligo/crlmm': Disabled
- Load 'ff'
- Load 'snow'
- Use options(cluster=makeCluster(...))
================================================================================
================================================================================
Welcome to oligo version 1.12.2
================================================================================
Loading required package: RSQLite
Loading required package: DBI
** help
*** installing help indices
** building package indices ...
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'ITALICS' as ITALICS_2.8.0.zip
* DONE (ITALICS)