Correct Mass Isotopologue Distribution Vectors
person(
given = "Jan",
family = "Lisec",
email = "jan.lisec@bam.de",
role = c("aut", "cre")
)
In metabolic flux experiments tracer molecules (often glucose containing
labelled carbon) are incorporated in compounds measured using mass spectrometry.
The mass isotopologue distributions of these compounds needs to be corrected for
natural abundance of labelled carbon and other effects, which are specific on the
compound and ionization technique applied. This package provides functions to
correct such effects in gas chromatography atmospheric pressure chemical ionization
mass spectrometry analyses.

Linear regression based on linear structure between covariates
Sequential linear regression based on a recursive structural
equation model (explicit correlations). It permits to face highly
correlated datasets.Package license :
(http://www.cecill.info/licences/Licence_CeCILL_V2.1-en.html)

c(person("Clement", "THERY", role = c("aut", "cre"),
email = "clement.thery@arcelormittal.com"),
person("Florian", "WATRIN", role = "ctb"))
Sequential linear regression based on a recursive structural
equation model (explicit correlations). It permits to face highly
correlated datasets.
Clement THERY [aut, cre],
Florian WATRIN [ctb]

c(person("Clement", "THERY", role = c("aut", "cre"),
email = "clement.thery@arcelormittal.com"),
person("Christophe", "BIERNACKI", role = "ctb"),
person("Gaetan", "LORIDANT", role = "ctb"),
person("Florian", "WATRIN", role = "ctb"),
person("Quentin", "GRIMONPREZ", role = "ctb")
)
Clement THERY [aut, cre],
Christophe BIERNACKI [ctb],
Gaetan LORIDANT [ctb],
Florian WATRIN [ctb],
Quentin GRIMONPREZ [ctb]

c(person("Clement", "THERY", role = c("aut", "cre"),
email = "clement.thery@arcelormittal.com"),
person("Christophe", "BIERNACKI", role = "ctb"),
person("Gaetan", "LORIDANT", role = "ctb"),
person("Florian", "WATRIN", role = "ctb"),
person("Quentin", "GRIMONPREZ", role = "ctb"),
person("Vincent", "KUBICKI", role = "ctb")
)
Linear regression based on a recursive structural equation model
(explicit correlations) found by a MCMC algorithm. It permits to face
highly correlated covariates. Variable selection is included (by lasso,
elasticnet, etc.). It also provides some graphical tools for basic
statistics.
Clement THERY [aut, cre],
Christophe BIERNACKI [ctb],
Gaetan LORIDANT [ctb],
Florian WATRIN [ctb],
Quentin GRIMONPREZ [ctb],
Vincent KUBICKI [ctb]