Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nsanyal@stanford.edu"),
Packaged: 2019-05-13 18:18:26 UTC; nilotpalsanyal

Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nilotpal.sanyal@gmail.com"),
Description: Package BHMSMAfMRI performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041>, or other multiscale data, using wavelet based prior that borrows strength across subjects and provides posterior smoothed images of the effect sizes and samples from the posterior distribution.
Imports: Rcpp (>= 1.0.9), oro.nifti, wavethresh

Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nilotpal.sanyal@gmail.com", comment = c(ORCID = "0000-0003-4814-7602")), person("Marco A.R.", "Ferreira", role = "aut"))
Author: Nilotpal Sanyal [aut, cre] (<https://orcid.org/0000-0003-4814-7602>),

Title: Uncertainty Quantified Matrix Completion using Bayesian
Author: Farideh Fazayeli, Arindam Banerjee, Jens Kattge, Franziska Schrodt, Peter Reich
Description: Fills the gaps of a matrix incorporating a hierarchical side
information while providing uncertainty quantification.

Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for running Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.

Description: Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.