Tests of the proportional hazards assumption in the Cox
model: data-driven Neyman type smooth tests and score process
based tests for identifying nonproportional covariates and for
global checks.

Miscellaneous functions for processing and sample selection of
vis-NIR diffuse reflectance data
Antoine Stevens and Leonardo Ramirez-Lopez
The package provides functions for pretreatment and sample
selection of visible and near infrared diffuse reflectance spectra

'RcppExports.R' 'Cul.r' 'NIRsoil.r' 'binning.r' 'blockNorm.r'
'blockScale.r' 'cochranTest.r' 'continuumRemoval.r' 'detrend.r'
'duplex.r' 'gapDer.r' 'honigs.r' 'kenstone.r'
'mTransformation.R' 'movav.r' 'naes.r' 'prospectrpackage.r'
'puchwein.r' 'readASD.r' 'resample.r' 'resample2.r'
'savitzkyGolay.r' 'shenkWest.r' 'spliceCorrection.r'
'standardNormalVariate.r'

Miscellaneous Functions for Processing and Sample Selection of
Spectroscopic Data
Antoine Stevens [aut, cre],
Leonardo Ramirez-Lopez [aut, cre]
Functions to preprocess spectroscopic data
and conduct (representative) sample selection/calibration sampling.

Antoine Stevens [aut, cre] (<https://orcid.org/0000-0002-1588-7519>),
Leonardo Ramirez-Lopez [aut, cre] (<https://orcid.org/0000-0002-5369-5120>),
Guillaume Hans [ctb] (<https://orcid.org/0000-0002-6503-5760>)
knitr, rmarkdown, formatR, testthat, bookdown
foreach, iterators, Rcpp (>= 1.0.1), mathjaxr (>= 1.0),
lifecycle (>= 0.2.0)

Visualizing and Analyzing Mass Spectrometry Related Data in
Proteomics
Christian Panse <cp@fgcz.ethz.ch>, Jonas Grossmann
<jg@fgcz.ethz.ch>
This R package helps with quality checks, vizualizations
and analysis of mass spectrometry data, coming from proteomics
experiments. The package is developed, tested and used at the
Functional Genomics Center Zurich. We use this package mainly
for prototyping, teaching, and having fun with proteomics data.
But it can also be used to do solid data analysis for small
scale data sets.
parentIonMass.R fragmentIons.R psm.R findNN.R peakplot.R
iTRAQ2GroupAnalysis.R pgImporter.R pgLFQaov.R pressureProfile.R