Package: meshed
Type: Package
Title: Bayesian Regression with Meshed Gaussian Processes
Version: 0.2.3
Date: 2022-09-19
Author: Michele Peruzzi
Maintainer: Michele Peruzzi <michele.peruzzi@duke.edu>
Description: Fits Bayesian regression models based on latent Meshed Gaussian Processes (MGP) as described in Peruzzi, Banerjee, Finley (2020) <doi:10.1080/01621459.2020.1833889>, Peruzzi, Banerjee, Dunson, and Finley (2021) <arXiv:2101.03579>, Peruzzi and Dunson (2022) <arXiv:2201.10080>. Funded by ERC grant 856506 and NIH grant R01ES028804.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.5), stats, dplyr, glue, rlang, magrittr, FNN
Suggests: ggplot2, abind, rmarkdown, knitr, tidyr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-09-19 11:39:59 UTC; mkln
Repository: CRAN
Date/Publication: 2022-09-19 22:56:15 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2022-09-20 01:27:39 UTC; unix
Archs: meshed.so.dSYM
