This package contains a program that supports users in
creating files to comply the MIAME-standart compliant format
MAGE-TAB. This format enables the user to upload his high
dimensional and related metadata to the public database Array
Express. The upload is required before you publish the data or
results that has been generated using the data.

person(
given = "John",
family = "Kirkpatrick",
email = "john.kirkpatrick@roche.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7790-3708")
)
Implements Mander & Thompson's (2010)
<doi:10.1016/j.cct.2010.07.008> methods for two-stage designs
optimal under the alternative hypothesis for phase II [cancer] trials.  Also
provides an implementation of Simon's (1989)
<doi:10.1016/0197-2456(89)90015-9> original methodology and
allows exploration of the operating characteristics of sub-optimal designs.
dplyr, ggplot2, logger, magrittr, methods, Rcpp, rlang,
tibble, tidyr
John Kirkpatrick [aut, cre] (<https://orcid.org/0000-0001-7790-3708>)

Sample Size and Post-Hoc Power of Association Studies Involving
Mitochondrial DNA Haplogroups
Calculate Sample Size and Post-Hoc Power of
Association Studies Involving Mitochondrial DNA Haplogroups.
Based on formulae by Samuels et al. AJHG, 2006. 78(4):713-720. <DOI:10.1086/502682>.

Sample Size and Power for Association Studies Involving
Mitochondrial DNA Haplogroups
c(
person(c("Aurora"), "Baluja",
role = c("aut", "cre"),
email = "mariauror@gmail.com",
comment = c(ORCID = "0000-0002-5204-0771"))
)
Calculate Sample Size and Power for
Association Studies Involving Mitochondrial DNA Haplogroups.
Based on formulae by Samuels et al. AJHG, 2006. 78(4):713-720. <DOI:10.1086/502682>.
Aurora Baluja [aut, cre] (<https://orcid.org/0000-0002-5204-0771>)

c(person("Juhui", "WANG", role = c("aut", "cre"),
email = "Juhui.Wang@jouy.inra.fr",
comment = "Software and Engineering"),
person("Hervé", "MONOD", role = "aut",
email = "Herve.Monod@jouy.inra.fr",
comment = "Applications and Statistical Methods"),
person("Robert", "FAIVRE", role = "ctb",
email = "faive@toulouse.inra.fr",
comment = "Applications and Statistical Methods"),
person("Hervé", "RICHARD", role = "ctb",
email = "Herve.Richard@avignon.inra.fr",
comment = "Software and Engineering")
)
Juhui WANG [aut, cre] (Software and Engineering), Hervé MONOD [aut] (Applications and Statistical Methods), Robert FAIVRE [ctb] (Applications and Statistical Methods), Hervé RICHARD [ctb] (Software and Engineering)
MTK (Mexico ToolKit) is a generic platform for the sensitivity and uncertainty analysis of complex models. It provides functions and facilities for experimental design, model simulation, sensitivity and uncertainty analysis, methods integration and data reporting, etc.
R (>= 2.15.0), base, stringr, graphics, methods, XML,
sensitivity, lhs, rgl
'mtkAllGenerics.R' 'globalsMtkFuncts.R' 'mtkValue.R'
'mtkFeature.R' 'mtkLevels.R' 'mtkParameter.R' 'mtkDomain.R'
'mtkFactor.R' 'mtkExpFactors.R' 'mtkProcess.R'
'mtkExpWorkflow.R' 'mtkExperiment.R' 'mtkParsor.R'
'mtkResult.R' 'mtkDesignerResult.R' 'mtkDesigner.R'
'mtkMorrisDesigner.R' 'mtkBasicMonteCarloDesigner.R'
'mtkRandLHSDesigner.R' 'mtkNativeDesigner.R'
'mtkSobolDesigner.R' 'mtkFastDesigner.R' 'mtkEvaluatorResult.R'
'mtkEvaluator.R' 'mtkNativeEvaluator.R'
'mtkIshigamiEvaluator.R' 'mtkWWDMEvaluator.R'
'mtkSystemEvaluatorResult.R' 'mtkSystemEvaluator.R'
'mtkAnalyserResult.R' 'mtkAnalyser.R' 'mtkNativeAnalyser.R'
'mtkDefaultAnalyser.R' 'mtkRegressionAnalyser.R'
'mtkMorrisAnalyser.R' 'mtkSobolAnalyser.R' 'mtkPLMMAnalyser.R'
'mtkFastAnalyser.R' 'mtk.addons.R' 'mtkPackage.R'