Title: Human Connectome Project Interface
Description: Downloads and reads data from Human 'Connectome' Project
<https://db.humanconnectome.org> using Amazon Web Services ('AWS')
Imports: digest, httr, utils, xml2 (>= 1.0.0.9001), base64enc
Packaged: 2017-05-14 16:28:26 UTC; johnmuschelli

Title: Human 'Connectome' Project Interface
Imports: digest, httr, utils, xml2 (>= 1.0.1), base64enc
Packaged: 2018-02-01 21:00:31 UTC; johnmuschelli

Packaged: 2018-04-11 17:13:42 UTC; johnmuschelli

Packaged: 2018-05-24 18:00:54 UTC; johnmuschelli

Imports: digest, httr, utils, xml2 (>= 1.0.1), base64enc, aws.s3
Packaged: 2020-10-14 18:16:11 UTC; johnmuschelli

Title: neuroim: R software for reading, writing and representing brain
Description: neuroim is a collection of data structures that represent
volumetric brain imaging data. The focus is on basic data handling for 3D
and 4D neuroimaging data. In addition, there are function to read and write
ANALYZE7.5 and NIFTI files and limited support for reading AFNI files.
Depends: R (>= 3.0.0), stringr, hash, iterators, abind, methods
Collate: 'AFNI_IO.R' 'AllGeneric.R' 'AllClass.R' 'Axis.R' 'BinaryIO.R'
Packaged: 2014-04-04 00:40:02 UTC; bbuchsbaum

Imports: Matrix, yaImpute, Rcpp, stringr, hash, iterators, abind,
Title: Read, Write, and Process Brain Imaging Data
Description: A collection of data structures that represent
NIFTI files and limited support for reading AFNI files.

Imports: Matrix, yaImpute, Rcpp, iterators, abind, assertthat, readr,
Title: Data Structures and Handling for Neuroimaging Data
Depends: R (>= 3.0.0), stringr, hash, methods, stats, grDevices, grid,

Imports: BayesLogit, ggplot2, dplyr, tidyr, magrittr, gridExtra
Description: Statistical methods for whole-trial and time-domain analysis of single cell neural response to multiple stimuli presented simultaneously. The package is based on the paper by C Glynn, ST Tokdar, A Zaman, VC Caruso, JT Mohl, SM Willett, and JM Groh (2020+) "Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure", tentatively accepted for publication in the Annals of Applied Statistics. A preprint may be found at <arXiv:1911.04387>.