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reddPrec  

Reconstruction of Daily Data - Precipitation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("reddPrec", "3.0.2")



Attach the package and use:
library("reddPrec")
Maintained by
Roberto Serrano-Notivoli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-26
Latest Update: 2025-04-24
Description:
Applies quality control to daily precipitation observations; reconstructs the original series by estimating precipitation in missing values; and creates gridded datasets of daily precipitation.
How to cite:
Roberto Serrano-Notivoli (2016). reddPrec: Reconstruction of Daily Data - Precipitation. R package version 3.0.2, https://cran.r-project.org/web/packages/reddPrec. Accessed 25 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:49), 0.1 (2016-01-26 14:20), 0.2 (2016-02-24 10:18), 0.3 (2017-01-30 21:50), 0.4.0 (2017-10-17 10:34), 2.0.0 (2024-01-09 14:00), 2.0.1 (2024-01-19 13:50), 2.0.3 (2024-05-01 23:14), 2.0.4 (2025-03-09 19:00), 3.0.0 (2025-04-24 13:30), 3.0.1 (2025-09-10 17:20)
Other packages that cited reddPrec R package
View reddPrec citation profile
Other R packages that reddPrec depends, imports, suggests or enhances
Complete documentation for reddPrec
Functions, R codes and Examples using the reddPrec R package
Some associated functions: gapFilling . gridPcp . qcPrec . 
Some associated R codes: fillData.R . gapFilling.R . gridPcp.R . predday.R . predpoint.R . qcFirst.R . qcLast.R . qcPrec.R . stand_qq.R . stand_ratio.R . standardization.R .  Full reddPrec package functions and examples
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