Xavier Domingo-Almenara, Sara Samino, Maria Vinaixa, Alexandre Perera, Oscar Yanes

Automated compound deconvolution, alignment across samples, and identification of metabolites by spectral library matching in Gas Chromatography - Mass spectrometry (GC-MS) untargeted metabolomics. Outputs a table with compound names, matching scores and the integrated area of the compound for each sample.

osd, ncdf4, caTools, nnls, HiClimR, igraph, signal, quantreg,
XML, methods

Xavier Domingo-Almenara [aut, cre, cph], Sara Samino [aut], Maria Vinaixa [aut], Alexandre Perera [aut, ths], Jesus Brezmes [aut, ths], Oscar Yanes [aut, ths]
ncdf4, nnls, igraph, signal, quantreg, XML, methods
Automated compound deconvolution, alignment across samples, and identification of metabolites by spectral library matching in Gas Chromatography - Mass spectrometry (GC-MS) untargeted metabolomics. Outputs a table with compound names, matching scores and the integrated area of the compound for each sample. Package implementation is described in Domingo-Almenara et al. (2016) <doi:10.1021/acs.analchem.6b02927>.

Xavier Domingo-Almenara [aut, cre, cph], Jasen P. Finch [ctb], Sara Samino [aut], Maria Vinaixa [aut], Alexandre Perera [aut, ths], Jesus Brezmes [aut, ths], Oscar Yanes [aut, ths]

Fitting Tails by the Empirical Residual Coefficient of Variation
Joan del Castillo, David Moriña Soler and Isabel Serra
Provides a methodology simple and trustworthy for the analysis of extreme values and multiple threshold tests for a generalized Pareto distribution, together
with an automatic threshold selection algorithm. See del Castillo, J, Daoudi, J and Lockhart, R (2014) <doi:10.1111/sjos.12037>.

R (>= 2.10.0), systemfit, lmtest, tseries, ggplot2
This package contains functions and datasets for the book
of 'Empirical Research in Economics: Growing up with R' by Dr.
Changyou Sun. These functions can calculate marginal effects
for a binary probit or logit model, estimate static and dynamic
Almost Ideal Demand System (AIDS) models, and conduct event
analysis.