Wrapper Functions for FSL ('FMRIB' Software Library) from
Functional MRI of the Brain ('FMRIB')
Wrapper functions that interface with 'FSL' (http://
fsl.fmrib.ox.ac.uk/fsl/fslwiki/), a powerful and commonly-used 'neuroimaging'
software, using system commands. The goal is to be able to interface with 'FSL'
completely in R, where you pass R objects of class 'nifti', implemented by
package 'oro.nifti', and the function executes an 'FSL' command and returns an R
object of class 'nifti' if desired.
methods, matrixStats, R.utils, graphics, grDevices, stats,
utils

Wrapper functions that interface with 'FSL'
<http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>, a powerful and commonly-used 'neuroimaging'
software, using system commands. The goal is to be able to interface with 'FSL'
completely in R, where you pass R objects of class 'nifti', implemented by
package 'oro.nifti', and the function executes an 'FSL' command and returns an R
object of class 'nifti' if desired.

Wrapper Functions for 'FSL' ('FMRIB' Software Library) from
Functional MRI of the Brain ('FMRIB')
c(person(given = "John",
family = "Muschelli",
email = "muschellij2@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-6469-1750")))
methods, R.utils, graphics, grDevices, stats, utils

Rosenthal's Fail Safe Number and Related Functions
Estimation of Rosenthal's fail safe number including confidence intervals. The relevant papers are the following. Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2014). "Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number". International Scholarly Research Notices, Volume 2014. <doi:10.1155/2014/825383>. Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2017). "Exploring the distribution for the estimator of Rosenthal's fail-safe number of unpublished studies in meta-analysis". Communications in Statistics-Theory and Methods, 46(11):5672--5684. <doi:10.1080/03610926.2015.1109664>.

Fuzzy set ordination is a multivariate analysis
used in ecology to relate the composition of samples to
possible explanatory variables.  While differing in theory
and method, in practice, the use is similar to "constrained
ordination."
The package contains plotting and summary
functions as well as the analyses