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autoFRK
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]
[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 21 Nov. 2024.
Previous versions and publish date:
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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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