Title: Manage a CRAN-style Local Repository
Description: This will allow easier management of a CRAN-style repository on
local networks (i.e. not on CRAN). This might be necessary where hosted
packages contain intellectual property owned by a corporation.
Imports: stringr (>= 0.6.2), assertthat (>= 0.1), tools (>= 3.0)

Title: Manage a CRAN-Style Local Repository

Title: Multivariate Analysis for Neuroimaging Data
Authors@R: person("Atsushi", "Kawaguchi", role = c("aut", "cre"), email = "kawa_a24@yahoo.co.jp")
Imports: oro.nifti, oro.dicom, imager, caret
Description: Several functions can be used to analyze neuroimaging data using multivariate methods based on the 'msma' package. For more details, please see Kawaguchi et al. (2017) <doi:10.1093/biostatistics/kxx011> and Kawaguchi (2019) <DOI:10.5772/intechopen.80531>.
Packaged: 2020-05-02 02:43:18 UTC; kawaguchi

Description: Several functions can be used to analyze neuroimaging data using multivariate methods based on the 'msma' package. The functions used in the book entitled "Multivariate Analysis for Neuroimaging Data" (2021, ISBN-13: 978-0367255329) are contained. Please also see Kawaguchi et al. (2017) <doi:10.1093/biostatistics/kxx011> and Kawaguchi (2019) <DOI:10.5772/intechopen.80531>.
Packaged: 2021-06-29 03:38:18 UTC; kawaguchi

Description: Several functions can be used to analyze neuroimaging data using multivariate methods based on the 'msma' package. The functions used in the book entitled "Multivariate Analysis for Neuroimaging Data" (2021, ISBN-13: 978-0367255329) are contained.
Packaged: 2022-05-24 09:45:04 UTC; kawaguchi

Title: Generates Views on the Mandelbrot Set
person("Ben", "Moore", email = "ben@blm.io", role = c("aut", "cre")),
person("Mario", "dos Reis", role = c("aut")))
Description: Estimates membership for the Mandelbrot set.

Title: Multiple Allocation Model for Actor-Event Networks
Authors@R: c(person("Saverio", "Ranciati", email = "sav.ranciati@gmail.com", role = "aut"),person("Veronica", "Vinciotti", email = "veronica.vinciotti@brunel.ac.uk", role = "cre"),person("Ernst", "Wit", email = "e.c.wit@rug.nl", role = "aut"))
Description: Mixture model with overlapping clusters for binary actor-event data. Parameters are estimated in a Bayesian framework. Model and inference are described in Ranciati, Vinciotti, Wit (2017) Modelling actor-event network data via a mixture model under overlapping clusters. Submitted.
Depends: R (>= 3.3.3), MCMCpack, combinat, igraph