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FRK
View on CRAN: Click
here
Download and install FRK package within the R console
Install from CRAN:
install.packages("FRK")
Install from Github:
library("remotes")
install_github("cran/FRK") Install by package version:
library("remotes")
install_version("FRK", "2.3.2") Attach the package and use:
library("FRK")
Maintained by
Andrew Zammit-Mangion
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-07
Latest Update: 2024-07-16
Description:
A tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of basis functions. This fixed-rank basis-function representation facilitates the modelling of big data, and the method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above also supports the modelling of non-Gaussian data (e.g., Poisson, binomial, negative-binomial, gamma, and inverse-Gaussian) by employing a generalised linear mixed model (GLMM) framework. Zammit-Mangion and Cressie describe `FRK` in a Gaussian setting, and detail its use of basis functions and BAUs, while Sainsbury-Dale, Zammit-Mangion, and Cressie describe `FRK` in a non-Gaussian setting; two vignettes are available that summarise these papers and provide additional examples.
How to cite:
Andrew Zammit-Mangion (2017). FRK: Fixed Rank Kriging. R package version 2.3.2, https://cran.r-project.org/web/packages/FRK. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.1 (2017-03-07 13:47), 0.1.2 (2017-04-21 09:46), 0.1.3 (2017-05-05 05:13), 0.1.4 (2017-06-14 07:44), 0.1.5 (2017-08-08 16:37), 0.1.6 (2017-10-13 23:06), 0.1.7 (2018-01-07 23:45), 0.1.8 (2018-01-13 01:10), 0.2.1 (2018-04-13 14:22), 0.2.2.1 (2020-04-01 07:42), 0.2.2 (2018-07-13 19:00), 1.0.0 (2021-02-22 17:20), 2.0.0 (2021-05-28 19:40), 2.0.1 (2021-10-11 10:10), 2.0.2 (2021-11-16 14:00), 2.0.3 (2022-01-10 09:22), 2.0.4 (2022-02-18 09:50), 2.0.5 (2022-03-25 09:10), 2.0.6 (2022-09-01 13:50), 2.1.0 (2022-09-15 11:40), 2.1.2 (2022-12-16 11:30), 2.1.3 (2022-12-20 11:10), 2.1.5 (2023-02-01 11:20), 2.2.0 (2023-10-18 15:30), 2.2.1 (2024-01-09 12:20), 2.2.2 (2024-02-26 15:10), 2.2.3 (2024-04-03 02:15), 2.3.0 (2024-06-17 15:20), 2.3.1 (2024-07-16 10:10)
Other packages that cited FRK R package
View FRK citation profile
Other R packages that FRK depends,
imports, suggests or enhances
Complete documentation for FRK
Functions, R codes and Examples using
the FRK R package
Some associated functions: AIRS_05_2003 . Am_data . BAUs_from_points . Basis-class . Basis . Basis_data.frame . MODIS_cloud_df . NOAA_df_1990 . SRE-class . SRE . SRE.predict . STplane . STsphere . SpatialPolygonsDataFrame_to_df . TensorP . auto_BAUs . auto_basis . combine_basis . df_to_SpatialPolygons . dist-matrix . distance . distances . draw_world . eval_basis . info_fit . initialize-manifold-method . isea3h . local_basis . loglik . manifold-class . manifold . measure-class . nbasis . nres . observed_BAUs . opts_FRK . plane . plot . plot_spatial_or_ST . plotting-themes . real_line . remove_basis . show_basis . sphere . type . worldmap .
Some associated R codes: AllClass.R . AllGeneric.R . FRK.R . FRK_wrapper.R . SRE.R . SREfit.R . SREpredict.R . SREutils.R . SREvalidation.R . basisfns.R . check_args.R . datadoc.R . geometryfns.R . linalgfns.R . misc.R . options.R . plottingfns.R . zzz.R . Full FRK package functions and examples
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