specmine: Metabolomics and Spectral Data Analysis and Mining

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.

Version: 2.0.3
Depends: R (≥ 3.4.0)
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
Published: 2018-05-15
Author: Christopher Costa [aut], Marcelo Maraschin [aut], Miguel Rocha [aut, cre], Sara Cardoso [aut], Telma Afonso, C. Beleites [ctb], Jie Hao [ctb], Daniel Jacob [ctb]
Maintainer: Miguel Rocha <mrocha at di.uminho.pt>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: Python (>=3.5.2) and the following python modules: isatools, os, ftplib, glob, logging, pandas, tempfile, shutil, re, nmrglue.
CRAN checks: specmine results


Reference manual: specmine.pdf
Package source: specmine_2.0.3.tar.gz
Windows binaries: r-devel: specmine_2.0.3.zip, r-release: specmine_2.0.3.zip, r-oldrel: specmine_2.0.3.zip
OS X binaries: r-release: not available, r-oldrel: not available
Old sources: specmine archive


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