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autoFRK  

Automatic Fixed Rank Kriging
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("autoFRK", "1.4.3")



Attach the package and use:
library("autoFRK")
Maintained by
ShengLi Tzeng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-05
Latest Update: 2021-03-12
Description:
Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) . For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package.
How to cite:
ShengLi Tzeng (2018). autoFRK: Automatic Fixed Rank Kriging. R package version 1.4.3, https://cran.r-project.org/web/packages/autoFRK. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-04-05 17:16), 1.1.0 (2019-03-29 23:20), 1.2.0 (2019-12-11 07:10), 1.3.0 (2020-05-27 11:50), 1.3.1 (2020-08-27 01:40), 1.3.2 (2020-09-09 14:10), 1.3.3 (2020-09-13 17:20)
Other packages that cited autoFRK R package
View autoFRK citation profile
Other R packages that autoFRK depends, imports, suggests or enhances
Complete documentation for autoFRK
Functions, R codes and Examples using the autoFRK R package
Some associated functions: DIST . EM0miss . IFelse . ZinvC . as.matrix.mrts . autoFRK . cMLE . cMLEimat . cMLElk . cMLEsp . checkDiag . diag.spam . extractLK . getASCeigens . getEigen . getHalf . getLikelihood . indeMLE . initializeLKnFRK . invCz . log . mkpd . mrts . mrtsrcpp . mrtsrcpp_predict . mrtsrcpp_predict0 . predict.FRK . predict.mrts . print.FRK . print.mrts . ramSize . rlimit . selectBasis . setLKnFRKOption . setNC . subknot . systemRam . toSpMat . uniquecombs . 
Some associated R codes: RcppExports.R . autoFRK.R . global.R . helper.R .  Full autoFRK package functions and examples
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