Packaged: 2019-01-19 23:36:06 UTC; weinanwang

Packaged: 2017-09-09 20:07:13 UTC; weinanwang

Authors@R: c(person("Yunyi", "Shen", email = "yshen99@wisc.edu", role = c("aut", "cre"),comment = c(ORCID = "0000-0003-2779-6507")),person("Claudia","Solis-Lemus", role = "aut", comment = c(ORCID = "0000-0002-9789-8915")))
Description: Algorithms to fit Bayesian Conditional Autoregressive LASSO with automatic and adaptive shrinkage described in Shen and Solis-Lemus (2020) <arXiv:2012.08397>.
Imports: Rcpp, coda, Matrix, igraph, ggraph, ggplot2, MASS, methods
Author: Yunyi Shen [aut, cre] (<https://orcid.org/0000-0003-2779-6507>),

Title: Reparameterized and marginalized posterior sampling for
Author: Kate Cowles and Stephen Bonett; with thanks to Juan Cervantes,
Dong Liang, Alex Sawyer, and Michael Seedorff
SystemRequirements: Nvidia CUDA driver (>= 270.xx.xx), Nvidia CUDA
Description: This package fits Bayesian conditional autoregressive
models for spatial and spatiotemporal data on a lattice.  It
uses Nvidia GPUs to perform rejection sampling to obtain
independent samples from the joint posterior distribution of

conditional autoregressive models, OpenCL implementation
Author: Kate Cowles and Michael Seedorff and Alex Sawyer
SystemRequirements: OpenCL library; double-precision AMD or Nvidia GPU;
Description: This package fits Bayesian conditional autoregressive models for spatial and spatiotemporal data on a lattice.  It uses OpenCL kernels running on GPUs to perform rejection sampling to obtain independent samples from the joint posterior distribution of model parameters.

Title: Covariate Assisted Spectral Clustering on Ratios of Eigenvectors
Description: Functions for the novel algorithm CASCORE, proposed to detect the latent community structure in graphs with node covariates. The models we can handle include covariate assisted degree corrected stochastic block model (CADCSBM). CASCORE allows for the disagreement between the community structure revealed in the adjacency information and the community structure revealed in the covariate information. More details are in the reference paper: Yaofang Hu and Wanjie Wang (2022) <arXiv:2208.00257>.
This package also includes other classical community detection algorithms that are compared to CASCORE in our paper, such as Spectral Clustering On Ratios-of Eigenvectors (SCORE), normalized PCA, ordinary PCA and covariate-assisted spectral clustering (CASC).
Authors@R: c(person("Yaofang", "Hu", role=c("aut", "cre"), email = "yaofangh@smu.edu"),
person("Wanjie", "Wang", role=c("aut"), email = "staww@nus.edu.sg"))