Package: qMRI
Type: Package
Title: Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
Version: 1.2.7
Date: 2023-09-13
Authors@R: c(person("Joerg", "Polzehl", role = c("aut"),
                    email = "joerg.polzehl@wias-berlin.de"),
             person("Karsten", "Tabelow", role = c("aut", "cre"),
                    email = "karsten.tabelow@wias-berlin.de"),
             person("WIAS Berlin", role = c("cph", "fnd")))
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>
Depends: R (>= 3.5), awsMethods (>= 1.0), methods, parallel
Imports: oro.nifti (>= 0.9), stringr, aws (>= 2.4), adimpro (>= 0.9)
LazyData: TRUE
Description: Implementation of methods for estimation of quantitative maps
    from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013)
    <doi:10.3389/fnins.2013.00095>) including adaptive
    smoothing methods in the framework of the ESTATICS model
    (Estimating the apparent transverse relaxation time (R2*) from images with
    different contrasts, Weiskopf et al. (2014) <doi:10.3389/fnins.2014.00278>).
    The smoothing method is described in Mohammadi et al. (2017).
    <doi:10.20347/WIAS.PREPRINT.2432>. Usage of the package is also described in
    Polzehl and Tabelow (2019),
    Magnetic Resonance Brain Imaging, Chapter 6, Springer, Use R! Series.
    <doi:10.1007/978-3-030-29184-6_6>.
License: GPL (>= 2)
Copyright: This package is Copyright (C) 2015-2020 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: https://www.wias-berlin.de/research/ats/imaging/
Suggests: covr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2023-09-13 13:32:19 UTC; polzehl
Author: Joerg Polzehl [aut],
  Karsten Tabelow [aut, cre],
  WIAS Berlin [cph, fnd]
Repository: CRAN
Date/Publication: 2023-09-18 07:30:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-09-19 11:24:47 UTC; unix
Archs: qMRI.so.dSYM
