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BayesMRA
View on CRAN: Click
here
Download and install BayesMRA package within the R console
Install from CRAN:
install.packages("BayesMRA")
Install from Github:
library("remotes")
install_github("cran/BayesMRA")
Install by package version:
library("remotes")
install_version("BayesMRA", "1.0.0")
Attach the package and use:
library("BayesMRA")
Maintained by
John Tipton
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2020-08-18
Latest Update: 2023-08-19
Description:
Software for fitting sparse Bayesian multi-resolution spatial models using Markov Chain Monte Carlo.
How to cite:
John Tipton (2020). BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations. R package version 1.0.0, https://cran.r-project.org/web/packages/BayesMRA. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.0 (2020-08-18 11:52)
Other packages that cited BayesMRA R package
View BayesMRA citation profile
Other R packages that BayesMRA depends,
imports, suggests or enhances
Functions, R codes and Examples using
the BayesMRA R package
Some associated functions: BayesMRA . is_integer . is_integer_matrix . is_numeric . is_numeric_matrix . is_numeric_vector . is_positive_integer . is_positive_numeric . is_sympd_matrix . make_Q_alpha_2d . make_Q_alpha_tau2 . mcmc_mra . mra_wendland_2d . mra_wendland_2d_pred . rmvn_arma . rmvn_arma_chol . rmvn_arma_scalar . wendland_basis .
Some associated R codes: RcppExports.R . make-Q-alpha_2d.R . make-Q-alpha_tau2.R . mcmc_mra.R . mra-wendland-2d-pred.R . mra-wendland-2d.R . predicates.R . wendland_basis.R . zzz.R . Full BayesMRA package functions and examples
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