Inference on High Dimensional Max-Stable Distributions
mnormt, partitions, maxLik, mnormpow, VGAM
Inference of high dimensional max-stable
distributions, from the paper "Likelihood based inference for
high-dimensional extreme value distributions", by A. Bienvenüe
and C. Robert, arXiv:1403.0065 [stat.AP].
Alexis Bienvenüe [aut, cre],
Christian Robert [aut]

Estimation of heritability in high dimensional Linear Mixed
Models
HiLMM provides estimation of heritability with confidence intervals in linear mixed models.

Estimation of Heritability in Linear Mixed Models
Estimation of heritability with confidence intervals in linear mixed models.

Martin Maechler and Douglas Bates (Matrix package)
Provides multi-core or GPU support (or both if the system
has GPU and multi-core CPU) for the recommended R package,
Matrix.
BLAS/LAPACK libraries, PLASMA library , NVIDIA CUDA
toolkit, MAGMA library
http://www.hiplar.org , http://icl.cs.utk.edu/magma/ ,
http://icl.cs.utk.edu/plasma/,
http://www.nvidia.com/object/cuda_home_new.html

Non-Targeted Fluxomics on High-Resolution Mass-Spectrometry Data
c(person("Jan", "Lisec", role = c("aut", "cre"), email = "jan.lisec@bam.de"), person("Friederike", "Hoffmann", role = c("aut"), email = "Friederike.Hoffmann@charite.de"))
Identifying labeled compounds in a 13C-tracer experiment in non-targeted fashion is a cumbersome process. This package facilitates such type of analyses
by providing high level quality control plots, deconvoluting and evaluating spectra and performing a multitude of tests in an automatic fashion.
The main idea is to use changing intensity ratios of ion pairs from peak list generated with 'xcms' as candidates and evaluate those against
base peak chromatograms and spectra information within the raw measurement data automatically.
xcms, plyr, openxlsx, InterpretMSSpectrum, Rdisop, beeswarm,
Biobase
Jan Lisec [aut, cre],
Friederike Hoffmann [aut]

Identifying labeled compounds in a 13C-tracer experiment in non-targeted fashion is a cumbersome process. This package facilitates such type of analyses
by providing high level quality control plots, deconvoluting and evaluating spectra and performing a multitude of tests in an automatic fashion.
The main idea is to use changing intensity ratios of ion pairs from peak list generated with 'xcms' as candidates and evaluate those against
base peak chromatograms and spectra information within the raw measurement data automatically.
The functionality is described in Hoffmann et al. (2018) <doi:10.1021/acs.analchem.8b00356>.
plyr, openxlsx, InterpretMSSpectrum, Rdisop, beeswarm, Biobase