Title: Multiple Peak Alignment for 2D Gas Chromatography Mass
Author: Ryne Ramaker <ryneramaker@gmail.com> Emily Gordon <egordon@hudsonalpha.org> Sara Cooper <sjcooper@hudsonalpha.org>
Description: Provides functions for aligning 2D gas chromatography mass spectrometry derived metabolite peaks obtained from primary processing and generates an alignment table that
allows for a comparison of common peaks across samples and metabolite identification. Publication describing the package in detail is available at the following citation: Ryne C. Ramaker, Emily Gordon, Sara J. Cooper (2017) <doi:10.1101/179168>.

Title: Translation of Base R-Like Functions for 'data.table' Objects
Maintainer: Robin Van Oirbeek <robin.vanoirbeek@gmail.com>
Description: Some heavily used base R functions are reconstructed to also be compliant to data.table objects. Also, some general helper functions that could be of interest for working with data.table objects are included.
Imports: data.table (>= 1.10.4), plyr (>= 1.8.4), devFunc

Title: Converting R CRAN outputs into Google Earth.
Description: Converting R CRAN outputs into Google Earth.

Title: Wrapper functions for GUESS: a GPU-enabled Sparse Bayesian
variable selection method for linear regression based analysis
Author: Benoit Liquet, Marc Chadeau-Hyam , Leonardo Bottolo, Gianluca Campanella, and
Depends: snowfall, mixOmics, MCMCpack, mvtnorm, fields
Description: Wrapper functions for GUESS: a GPU-enabled Sparse Bayesian variable selection method for linear regression
based analysis of possibly multivariate/correlated outcomes.
SystemRequirements: GNU Scientific Library (>= 1.12)

Depends: R (>= 2.15), fields, MCMCpack, methods, mixOmics, mvtnorm,
Description: Wrapper functions for GUESS, a GPU-enabled sparse Bayesian variable
selection method for linear regression based analysis of possibly

Depends: R (>= 3.0.0), fields, MCMCpack, methods, mixOmics, mvtnorm,

Description: Wrapper functions for GUESS, a GPU-accelerated
sparse Bayesian variable selection method for linear regression based
analysis of multivariate, correlated outcomes.
Depends: fields (>= 9.6), MCMCpack (>= 1.4.3), methods, mixOmics,