Package: specmine
Type: Package
Title: Metabolomics and Spectral Data Analysis and Mining
Version: 2.0.3
Date: 2018-05-14
Author: Christopher Costa <chrisbcl@hotmail.com> [aut],
	Marcelo Maraschin <mtocsy@gmail.com> [aut],
	Miguel Rocha <mrocha@di.uminho.pt> [aut, cre],
	Sara Cardoso <saracardoso501@gmail.com> [aut],
	Telma Afonso <telma.afonso94@gmail.com [aut]>,
	C. Beleites [ctb],
	Jie Hao [ctb],
	Daniel Jacob [ctb]
Maintainer: Miguel Rocha <mrocha@di.uminho.pt>
Depends: R (>= 3.4.0)
SystemRequirements: Python (>=3.5.2) and the following python modules:
        isatools, os, ftplib, glob, logging, pandas, tempfile, shutil,
        re, nmrglue.
Imports: compare, hyperSpec, readJDX, baseline, rgl, Metrics, GGally,
        ggplot2, ellipse, ggdendro, caret, pls, pcaPP, RColorBrewer,
        grid, methods, qdap, MASS, scatterplot3d, xcms, MAIT,
        genefilter, impute, igraph, KEGGgraph, KEGGREST, reticulate,
        gdata, speaq, devtools
Suggests: rcytoscapejs
Description: Provides a set of methods for metabolomics 
	data analysis, including data loading in different formats, 
	pre-processing, metabolite identification, univariate and multivariate 
	data analysis, machine learning, feature selection and pathway analysis. Case studies 
	can be found on the website: <http://darwin.di.uminho.pt/metabolomicspackage/index.html>.
	'rcytoscapejs' is not present in a mainstream repository, but it can be obtained by 
	typing 'devtools::install_github('cytoscape/r-cytoscape.js')' on the R command line.
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-24 14:14:55 UTC; scardoso
Repository: CRAN
Date/Publication: 2018-05-15 16:54:00 UTC
Built: R 3.4.4; ; 2019-04-25 23:11:38 UTC; windows
