WebCrossCovarianceAG10 {spamtree} R Documentation Multivariate non-separable cross-covariance function on latent domain of variables. Description This function implements the cross-covariance function used in Peruzzi and Dunson (2024), which is derived from eq. 7 in Apanasovich and Genton (2010). Usage CrossCovarianceAG10(coords1, mv1, coords2, … WebFeb 6, 2024 · Fits multivariate Bayesian spatial regression models for large datasets using Spatial Multivariate Trees (SpamTrees). The methods in this package are detailed in Peruzzi and Dunson (2024) < arXiv:2012.00943 >. Funded by …
CRAN - Package spamtree
WebCRAN Mirrors. The Comprehensive R Archive Network is available at the following URLs, please choose a location close to you. Some statistics on the status of the mirrors can be found here: main page, windows release, windows old release. If you want to host a new mirror at your institution, please have a look at the CRAN Mirror HOWTO.. 0-Cloud WebFeb 4, 2024 · spamtree 5 K integer vector of dimension 2 indicating the number of intervals for axis-parallel recursive partitioning. Each tree level will thus have prod(K) times as many partitions as the previous. Defaults to c(2,2), leading to a recursive quadtree. start_level integer indicating the root level. Example: start_level=0 means there is 1 credit reduction states for 2020
README - cran.r-project.org
WebSearch the spamtree package. Vignettes. README.md Spatial regression with bivariate misaligned outcomes WebInstalling spamtree Just do install.packages ("spamtree") to install from CRAN. Documentation A minimal documentation is available for the CRAN package and accessible from R via the usual ?spamtree::spamtree. About spamtree The methods implemented in the package are described in this article: WebThe spamtree package is built to run multivariate spatial regressions based on spatial multivariate trees and using a non-separable cross-covariance function on latent dimensions. In this vignette we simulate two spatially referenced outcomes. library ... credit reduction suta examples chegg