reddPrec (version 3.0.2)

Reconstruction of Daily Data - Precipitation

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.

Copy Link

Version

Install

install.packages('reddPrec')

Monthly Downloads

362

Version

3.0.2

License

GPL-3

Maintainer

Roberto Serrano-Notivoli

Last Published

November 19th, 2025

Functions in reddPrec (3.0.2)

learner_rf

Function of the random forest model (rf)

learner_nn

Function of the neural network model (nn)

gridPcp

Gridded dataset creation

qcPrec

Quality Control of daily precipitation observations

gapFilling

Estimating new values in original missing values data series of daily precipitation

learner_xgboost

Function of the eXtreme Gradient Boosting model (xgboost)

learner_svm

Function of the support vector machine model (svm)

eqc_Ts

Automatic enhanced quality control for daily precipitation time series

eqc_WeeklyCycle

Weekly cycle level of daily precipitation

eqc_SmallGaps

Small gaps level of daily precipitation

eqc_Truncation

Truncation level of daily precipitation

hmg_Ts

Homogenization of daily precipitation time series

eqc_PrecisionRounding

Precision and rounding patterns of daily precipitation

eqc_Plot

Enhanced quality control plots for daily precipitation

learner_glm

Function of the generalized linear model (glm)