Description: Using this package, one can determine the minimum sample size required so that the mean square error of the sample mean and the population mean of a distribution becomes less than some pre-determined epsilon, i.e. it helps the user to determine the minimum sample size required to attain the pre-fixed precision level by minimizing the difference between the sample mean and population mean.

Title: MINimal VALidation for Stoichiometric Reactions
Author: Daniel Osorio [aut,cre], Janneth Gonzalez [aut], Andres Pinzon-Velasco
Description: For a given set of stoichiometric reactions, this package evaluates the mass balance and extracts all reactants, products, orphan metabolites, metabolite names and compartments. Also are included some options to check the compound names associated to Chemical Entities of Biological Interest (ChEBI) database <https://www.ebi.ac.uk/chebi>.

Author: Daniel Osorio [aut,cre], Janneth Gonzalez [aut], Andres Pinzon-Velasco [aut].
Description: For a given set of stoichiometric reactions, this package
evaluates the mass and charge balance, extracts all reactants, products, orphan
metabolites, metabolite names and compartments. Also are included some options
to write models in TSV and SBML formats.

Suggests: testthat, knitr, rmarkdown, sybil, sybilSBML, glpkAPI
to characterize and write models in TSV and SBML formats.

Suggests: testthat, knitr, rmarkdown, sybil, sybilSBML

Packaged: 2017-05-22 23:33:35 UTC; dcosorioh

Suggests: testthat, knitr, rmarkdown, sybil, glpkAPI
Packaged: 2018-04-12 02:31:44 UTC; dcosorioh

Description: This package implements entropy optimization distribution
under specified constraints. It also offers an R interface to

Title: Multidimensional Iterative Proportional Fitting
Authors@R: c(person("Johan", "Barthelemy", role = c("aut", "cre"),email = "johan@uow.edu.au"),person("Thomas", "Suesse", role = "aut"),person("Mohammad", "Namazi-Rad", role = "ctb"))
Author: Johan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Description: An implementation of the iterative proportional fitting procedure for updating a N-dimensional array with respect to given target marginal distributions (which, in turn can be multi-dimensional)