Package: reddPrec 3.0.2

Roberto Serrano-Notivoli

reddPrec: Reconstruction of Daily Data - Precipitation

Applies quality control to daily precipitation observations; reconstructs the original series by estimating precipitation in missing values; and creates gridded datasets of daily precipitation.

Authors:Roberto Serrano-Notivoli [aut, cre], Adrian Huerta [aut], Abel Centella [ctb]

reddPrec_3.0.2.tar.gz
reddPrec_3.0.2.zip(r-4.7-any)reddPrec_3.0.2.zip(r-4.6-any)
reddPrec_3.0.2.tar.gz(r-4.7-any)reddPrec_3.0.2.tar.gz(r-4.6-any)
reddPrec_3.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
reddPrec/json (API)

# Install 'reddPrec' in R:
install.packages('reddPrec', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.18 score 15 scripts 271 downloads 15 exports 93 dependencies

Last updated from:519a80d1bb. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK159
source / vignettesOK240
linux-releaseOK214
windows-develOK169
windows-releaseOK152
wasm-releaseOK139

Exports:eqc_Ploteqc_PrecisionRoundingeqc_SmallGapseqc_Truncationeqc_Tseqc_WeeklyCyclegapFillinggridPcphmg_Tslearner_glmlearner_nnlearner_rflearner_svmlearner_xgboostqcPrec

Dependencies:abindbackportsbootBreakPointsbroomcarcarDataclassclicodetoolscolorspacecowplotcpp11data.tableDerivdoBydoParalleldplyre1071extraDistrfarverfitdistrplusforeachforecastFormulafracdiffgenericsgeosphereggplot2gluegridExtragtableisobanditeratorsjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrneuralnetnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpracmaproxypurrrqmapquantregR6randomForestrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshapereshape2rlangS7scalesSparseMstringistringrsurvivalterratibbletidyrtidyselecttimeDatetrendurcautf8vctrsviridisLitewithrxgboostxtszoo