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.
neurobase, fslr (>= 2.0), methods, stats, parallel, oro.nifti,
mmand

c(person(given = "Elizabeth M.", "Sweeney",
email = "elizabethmargaretsweeney@gmail.com", 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")))
neurobase, fslr (>= 2.13), methods, stats, parallel,
oro.nifti, mmand

An implementation of the Blinder-Oaxaca decomposition for linear regression models.

Formula, ggplot2, reshape2, methods, stats

Data processing, visualisation and analysis of Limit Order Book
event data.

Erlend Dancke Sandorf [aut, cre],
Caspar Chorus [aut],
Sander van Cranenburgh [aut]
When people make decisions, they may do so using a wide variety of decision rules. The package allows users to easily create obfuscation games to test the obfuscation hypothesis. It provides an easy to use interface and multiple options designed to vary the difficulty of the game and tailor it to the user's needs.
Rfast, stats, matrixStats, stringr, readr, tibble, crayon

c(
person("Erlend Dancke", "Sandorf", email="erlend.dancke.sandorf@nmbu.no", role = c("aut", "cre")),
person("Caspar", "Chorus", role = c("aut")),
person("Sander", "van Cranenburgh", role = c("aut")))
When people make decisions, they may do so using a wide variety of decision rules. The package allows users to easily create obfuscation games to test the obfuscation hypothesis. It provides an easy to use interface and multiple options designed to vary the difficulty of the game and tailor it to the user's needs. For more detail: Chorus et al., 2021, Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence, Mathematical Social Sciences, 109, 28-44.