Every research team have their own script for data management, statistics and
most importantly hemodynamic indices. The purpose is to standardize scripts
utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe,
and add both periods of interest (trigger-periods), and delete artifacts with deleter-files.
Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and
Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.

person("Christian", "Riberholt", role = "ctb"),
person("Kirsten", "Moeller", role = "ctb"),
person("Janus Christian", "Jakobsen", role = "ctb"),
person("Aksel Karl Georg", "Jensen", role = "ctb"))

Title: Calculating Likelihoods by Pedigree Paring
Description: A fast and general implementation of the Elston-Stewart algorithm
that can calculate the likelihoods of large and complex pedigrees without loops.
References for the Elston-Stewart algorithm are

that can calculate the likelihoods of large and complex pedigrees.

Title: Read and Write from the System Clipboard
person("Matthew", "Lincoln", email = "matthew.d.lincoln@gmail.com", role = c("aut", "cre")),
person("Louis", "Maddox", role = "ctb"))
Description: Simple utility functions to read from and write to the system

person("Louis", "Maddox", role = "ctb"),
Description: Simple utility functions to read from and write to the Windows,

person("Jennifer", "Bryan", role = "ctb"))

SystemRequirements: xclip (https://github.com/astrand/xclip) or xsel

Suggests: rstudioapi (>= 0.5), testthat, covr

Description: Simple utility functions to read from and write to
Suggests: covr, rstudioapi (>= 0.5), testthat (>= 2.0.0)
Author: Matthew Lincoln [aut, cre] (<https://orcid.org/0000-0002-4387-3384>),

Suggests: covr, knitr, rmarkdown, rstudioapi (>= 0.5), testthat (>=

person("Matthew", "Lincoln", , "matthew.d.lincoln@gmail.com", role = c("aut", "cre"),
person("Jennifer", "Bryan", role = "ctb")

Title: Annotation of Isotopes, Adducts and Fragmentation Adducts for
person("Oriol", "Senan Campos", email = "oriol.senan@urv.cat", role = c("aut","cre")),
person("Antoni", "Aguilar-Mogas", role = "aut"),
person("Jordi", "Capellades", role = "aut"),
person("Miriam", "Navarro", role = "aut"),
person("Roger", "Guimerà", role = "aut"),
person("Marta", "Sales-Pardo", role = "aut")
Description: Annotates data from liquid chromatography coupled to mass spectrometry (LC/MS) metabolomics experiments. Based on a network algorithm (O.Senan, A. Aguilar- Mogas, M. Navarro, O. Yanes, R.Guimerà and M. Sales-Pardo, Metabolomics Conference (2016), Dublin), 'CliqueMS' builds a weighted similarity network where nodes are features and edges are weighted according to the similarity of this features. Then it searches for the most plausible division of the similarity network into cliques (fully connected components). Finally it annotates metabolites within each clique, obtaining for each annotated metabolite the neutral mass and their features, corresponding to isotopes, ionization adducts and fragmentation adducts of that metabolite.
Imports: Rcpp (>= 0.12.15), xcms, igraph, qlcMatrix, Matrix, CAMERA,
Maintainer: Oriol Senan Campos <oriol.senan@urv.cat>