Package: RFplus Type: Package Title: Machine Learning for Merging Satellite and Ground Precipitation Data Version: 1.5-4 Date: 2025-03-31 Encoding: UTF-8 Authors@R: c(person("Jonnathan Augusto", "Landi Bermeo", email = "jonnathan.landi@outlook.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0003-3162-6647")), person("Alex", "Avilés", role = "aut", comment = c(ORCID = "0000-0001-9278-5738")), person("Darío", "Zhiña", role = "aut", comment = c(ORCID = "0000-0001-9556-4025")), person("Marco", "Mogro", role = "aut", comment = c(ORCID = "0009-0007-1802-9417")), person("Anthony", "Guamán", role = "aut", comment = c(ORCID = "0009-0005-0204-7536"))) Maintainer: Jonnathan Augusto Landi Bermeo Description: A machine learning algorithm that merges satellite and ground precipitation data using Random Forest for spatial prediction, residual modeling for bias correction, and quantile mapping for adjustment, ensuring accurate estimates across temporal scales and regions. License: GPL (>=3) Depends: R (>= 4.4.0) Imports: terra, randomForest, data.table, pbapply, qmap, hydroGOF URL: https://github.com/Jonnathan-Landi/RFplus BugReports: https://github.com/Jonnathan-Landi/RFplus/issues NeedsCompilation: no RoxygenNote: 7.3.2 Suggests: knitr, rmarkdown, testthat (>= 3.0.0), covr Config/testthat/edition: 3 VignetteBuilder: knitr Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev libsqlite3-dev Repository: https://jonnathan-landi.r-universe.dev Date/Publication: 2025-04-01 02:42:29 UTC RemoteUrl: https://github.com/jonnathan-landi/rfplus RemoteRef: HEAD RemoteSha: ca74b82f52fb1462a1ae3725949f8eac07c5d611 Packaged: 2026-07-04 18:08:54 UTC; root Author: Jonnathan Augusto Landi Bermeo [aut, cre, cph] (ORCID: ), Alex Avilés [aut] (ORCID: ), Darío Zhiña [aut] (ORCID: ), Marco Mogro [aut] (ORCID: ), Anthony Guamán [aut] (ORCID: )