Package: specmine
Type: Package
Title: Metabolomics and Spectral Data Analysis and Mining
Version: 3.0.1
Date: 2020-07-10
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 [cph],
	Jie Hao [cph]
Maintainer: Miguel Rocha <mrocha@di.uminho.pt>
Depends: R (>= 4.0.0)
SystemRequirements: Python (>=3.5.2) and the following python module:
        nmrglue.
Imports: hyperSpec, caret, e1071, ggplot2, impute, ellipse, GGally,
        pcaPP, compare, baseline, MASS, pls, readJDX, speaq, gdata,
        genefilter, RColorBrewer, grDevices, graphics, methods, stats,
        utils, Metrics
Suggests: ggdendro, reticulate, qdap, scatterplot3d, MAIT, xcms,
        KEGGgraph, KEGGREST, rcytoscapejs, rgl, grid, curl, RCurl
LazyData: true
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://bio.di.uminho.pt/metabolomicspackage/index.html>.
	This package suggests 'rcytoscapejs', a package not in mainstream repositories. If you need to install it,
	use: devtools::install_github('cytoscape/r-cytoscape.js@v0.0.7').
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-07-10 13:47:18 UTC; saracardoso
Repository: CRAN
Date/Publication: 2020-07-10 15:20:03 UTC
Built: R 4.1.0; ; 2020-08-03 14:36:20 UTC; windows
