c(person("Karsten", "Tabelow", role = c("aut", "cre"),
email = "tabelow@wias-berlin.de"),
person("Joerg", "Polzehl", role = c("aut"),
email = "polzehl@wias-berlin.de"),
person("Brandon", "Whitcher", role = c("ctb")),
person("Dames", "Sibylle", role = c("ctb")))
Contains R-functions to perform an fMRI analysis as described in
Tabelow et al. (2006) <DOI:10.1016/j.neuroimage.2006.06.029>,
Polzehl et al. (2010) <DOI:10.1016/j.neuroimage.2010.04.241>,
Tabelow and Polzehl (2011) <DOI:10.18637/jss.v044.i11>.
Karsten Tabelow [aut, cre],
Joerg Polzehl [aut],
Brandon Whitcher [ctb],
Dames Sibylle [ctb]

tcltk, tkrplot, fastICA, adimpro (>= 0.9), oro.nifti

grDevices, graphics, stats, utils, nlme, parallel, metafor,
methods, aws (>= 2.4)
Contains R-functions to perform an fMRI analysis as described in
Polzehl and Tabelow (2019) <DOI:10.1007/978-3-030-29184-6>,
Tabelow et al. (2006) <DOI:10.1016/j.neuroimage.2006.06.029>,
Polzehl et al. (2010) <DOI:10.1016/j.neuroimage.2010.04.241>,
Tabelow and Polzehl (2011) <DOI:10.18637/jss.v044.i11>.
This package is Copyright (C) 2006-2020 Weierstrass
Institute for Applied Analysis and Stochastics.

Functional MRI Quality Assurance Routines
person("Martin", "Wilson", email = "martin@pipegrep.co.uk",
role = c("cre","aut"))
Methods for performing fMRI quality assurance (QA) measurements of
test objects. Heavily  based on the fBIRN procedures detailed by Friedman and
Glover (2006) <doi:10.1002/jmri.20583>.
viridisLite, RNifti, ggplot2, reshape2, gridExtra, grid,
tidyr, optparse, tcltk, RcppEigen, pracma

viridisLite, RNifti, ggplot2, reshape2, gridExtra, grid,
tidyr, optparse, tcltk, RcppEigen, imager, pracma

Variable Selection in Finite Mixture of AFT Regression and FMR
Provides parameter estimation as well as variable selection in Finite Mixture of Accelerated Failure Time Regression Models and Finite Mixture of Regression models. It also provides the Ridge regression and Elastic Net.

Farhad Shokoohi <shokoohi@icloud.com>
Abbas Khalili
Masoud Asgharian
Shili Lin
Provides parameter estimation as well as variable selection in
Finite Mixture of Accelerated Failure Time Regression and Finite
Mixture of Regression Models.
Furthermore, this package provides Ridge Regression and Elastic Net.