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MRFA  

Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MRFA", "0.6")



Attach the package and use:
library("MRFA")
Maintained by
Chih-Li Sung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-14
Latest Update: 2019-01-07
Description:
Performs the MRFA approach proposed by Sung et al. (2020) to fit and predict nonlinear regression problems, particularly for large-scale and high-dimensional problems. The application includes deterministic or stochastic computer experiments, spatial datasets, and so on.
How to cite:
Chih-Li Sung (2017). MRFA: Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach. R package version 0.6, https://cran.r-project.org/web/packages/MRFA. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2017-07-14 07:40), 0.2 (2017-09-22 05:11), 0.4 (2019-01-08 00:10)
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View MRFA citation profile
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Complete documentation for MRFA
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