and b) the forecasters' common prior (p0) of the future event. In this R-package,
aggregator. Its use is illustrated with a simple example.
Packaged: 2021-05-29 12:57:04 UTC; ville.satopaa

Title: Visualize Combined Action Response Surfaces and Report BRAID
Maintainer: Nathaniel R. Twarog <nathaniel.twarog@stjude.org>
Description: Provides functions to generate, format, and style surface plots for visualizing combined action data.  Also provides functions for reporting on a BRAID analysis, including plotting curve-shifts, calculating IAE values, and producing full BRAID analysis reports.

Title: Fitting Dose Response with the BRAID Combined Action Model
Description: Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Dose (BRAID) model of combined action.

Title: Graph Theory Analysis of Brain MRI Data
Author: Christopher G. Watson <cgwatson@bu.edu>
Maintainer: Christopher G. Watson <cgwatson@bu.edu>
Description: A set of tools for performing graph theory analysis of brain MRI
data. It is best suited to data from a Freesurfer analysis (cortical
thickness, volumes, local gyrification index, surface area), but also works
with e.g., tractography data from FSL. It contains a graphical user
interface for graph visualization and data exploration.
Depends: R (>= 3.0.0), igraph (>= 1.0.0), RGtk2, cairoDevice
Imports: abind, boot, data.table, foreach, ggplot2, Hmisc, methods,

Imports: abind, ade4, boot, data.table, foreach, ggplot2, Hmisc,
methods, oro.nifti, parallel, plyr, scales

methods, oro.nifti, permute, parallel, plyr, RcppEigen, scales

with e.g., tractography data from FSL and fMRI data from DPABI. It contains
a graphical user interface for graph visualization and data exploration and
several functions for generating useful figures.

data. It works with data from a Freesurfer analysis (cortical thickness,
volumes, local gyrification index, surface area), diffusion tensor
tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from
DPABI). It contains a graphical user interface for graph visualization and
data exploration, along with several functions for generating useful
Imports: abind, ade4, boot, data.table, expm, foreach, ggplot2,
ggrepel, gridExtra, Hmisc, MASS, Matrix, mediation, methods,
oro.nifti, permute, parallel, RcppEigen, scales