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meshed  

Bayesian Regression with Meshed Gaussian Processes
View on CRAN: Click here


Download and install meshed package within the R console
Install from CRAN:
install.packages("meshed")

Install from Github:
library("remotes")
install_github("cran/meshed")

Install by package version:
library("remotes")
install_version("meshed", "0.2.3")



Attach the package and use:
library("meshed")
Maintained by
Michele Peruzzi
[Scholar Profile | Author Map]
First Published: 2021-06-11
Latest Update: 2022-09-19
Description:
Fits Bayesian regression models based on latent Meshed Gaussian Processes (MGP) as described in Peruzzi, Banerjee, Finley (2020) , Peruzzi, Banerjee, Dunson, and Finley (2021) , Peruzzi and Dunson (2022) . Funded by ERC grant 856506 and NIH grant R01ES028804.
How to cite:
Michele Peruzzi (2021). meshed: Bayesian Regression with Meshed Gaussian Processes. R package version 0.2.3, https://cran.r-project.org/web/packages/meshed. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.1 (2021-06-11 11:10), 0.1.2 (2021-06-22 09:30), 0.1.3 (2021-10-06 01:20), 0.1.4 (2021-10-06 15:50), 0.2.1 (2022-01-28 11:40), 0.2 (2022-01-26 13:32)
Other packages that cited meshed R package
View meshed citation profile
Other R packages that meshed depends, imports, suggests or enhances
Complete documentation for meshed
Functions, R codes and Examples using the meshed R package
Some associated functions: meshed-package . predict.spmeshed . rmeshedgp . spmeshed . summary_list_mean . summary_list_q . 
Some associated R codes: RcppExports.R .  Full meshed package functions and examples
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