foreach, purrr, R6, rlang, rlist, rstudioapi, stats

Interface to D-optimal design generation code of the Orthogonal Array package. Can generate D-optimal designs with specified number of runs and factors. The optimality of the designs is defined in terms of a user specified optimization function based on the D-efficiency and Ds-efficiency.

Computation of the Orbit-Aware Quad Census
c(person("Mark", "Ortmann", email = "mark.ortmann@uni.kn", role = c("aut", "cre")),
person("Felix", "Schoenenberger", role = c("aut")))
Implements the efficient algorithm by Ortmann and Brandes (2017)
<doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.
Mark Ortmann [aut, cre],
Felix Schoenenberger [aut]

Multiple Sclerosis Lesion Segmentation using Magnetic Resonance
Imaging (MRI)
c(person(given = "Elizabeth M.", "Sweeney",
email = "emsweene@jhsph.edu", role = c("aut", "cre")),
person(given = "John", family = "Muschelli", email = "muschellij2@gmail.com",
role = c("aut")),
person(  given = "R. Taki", family = "Shinohara",
email = "rshi@mail.med.upenn.edu",
role = c("aut")))
Trains and makes predictions from the OASIS method, described in
detail in the paper "OASIS is Automated Statistical Inference for Segmentation,
with applications to multiple sclerosis lesion segmentation in MRI"
<doi:10.1016/j.nicl.2013.03.002>. OASIS is a method
for multiple sclerosis (MS) lesion segmentation on structural magnetic resonance
image (MRI) studies. OASIS creates probability maps of lesion presence using the
FLAIR, T2, T1, and PD structural MRI volumes. This packages allows for training
of the OASIS model and prediction of OASIS probability maps from a trained model
with user supplied studies that have a gold standard lesion segmentation masks.
The package will also create OASIS probability maps for MRI studies using the
OASIS model from the OASIS paper if no gold standard lesion segmentation masks
are available.
Elizabeth M. Sweeney [aut, cre],
John Muschelli [aut],
R. Taki Shinohara [aut]