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RFplus  

Machine Learning for Merging Satellite and Ground Precipitation Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RFplus", "1.5-4")



Attach the package and use:
library("RFplus")
Maintained by
Jonnathan Augusto Landi Bermeo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-04
Latest Update: 2025-04-01
Description:
Implements a bias correction method that combines Random Forest models with Quantile Mapping to improve the accuracy of satellite-derived environmental datasets. The model corrects biases in meteorological variables, such as precipitation and temperature, by integrating in situ measurements and a Digital Elevation Model (DEM).
How to cite:
Jonnathan Augusto Landi Bermeo (2025). RFplus: Machine Learning for Merging Satellite and Ground Precipitation Data. R package version 1.5-4, https://cran.r-project.org/web/packages/RFplus. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:18), 1.2-2 (2025-02-04 10:10), 1.3-0 (2025-02-24 18:40), 1.4-0 (2025-03-10 16:10)
Other packages that cited RFplus R package
View RFplus citation profile
Other R packages that RFplus depends, imports, suggests or enhances
Complete documentation for RFplus
Functions, R codes and Examples using the RFplus R package
Full RFplus package functions and examples
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