Package: CSIndicators Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions Version: 1.2.0 Authors@R: c( person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("aut"), comment = c(ORCID = "0000-0001-8568-3071")), person("Chou", "Chihchung", ,"chihchung.chou@bsc.es", role = "aut"), person("Llorenç", "Lledó", , "llorenc.lledo@bsc.es", role = "aut"), person("Victòria", "Agudetse", , "victoria.agudetse@bsc.es", role = c("ctb", "cre")), person("Eva", "Rifà", , "eva.rifarovira@bsc.es", role = c("ctb")), person("González-Reviriego", "Nube", , "nube.gonzalez@bsc.es", role = "ctb"), person("Marcos", "Raül", , "raul.marcos@bsc.es", role = "ctb"), person("Palma", "Lluis", , "lluis.palma@bsc.es", role = "ctb"), person("An-Chi", "Ho", , "an.ho@bsc.es", role = c("ctb")), person("Javier", "Corvillo", , "javier.corvillo@bsc.es", role = c("ctb")), person("Alberto", "Bojaly", , , role = c("ctb")), person("Theertha", "Kariyathan", ,"theertha.kariyathan@bsc.es", role = c("ctb")), person("BSC-CNS", role = "cph")) Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, health...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in Pérez-Zanón et al. (2023) and was developed in the context of the H2020 projects MED-GOLD (776467) and S2S4E (776787) projects, as well as the Horizon Europe project MEDEWSA (101121192) and the national project BOREAS (PID2022-140673OA-I00). See Lledó et al. (2019) and Chou et al., 2023 for details. Depends: R (>= 3.6.0) Imports: multiApply (>= 2.1.1), stats, ClimProjDiags, CSTools, SPEI, lmom, lmomco, zoo, s2dv, lubridate, geosphere Suggests: testthat, knitr, markdown, rmarkdown VignetteBuilder: knitr License: GPL-3 URL: https://gitlab.earth.bsc.es/es/csindicators/ BugReports: https://gitlab.earth.bsc.es/es/csindicators/-/issues Encoding: UTF-8 RoxygenNote: 7.3.1 Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-07-09 07:03:41 UTC; root Author: Nuria Perez-Zanon [aut] (ORCID: ), Chou Chihchung [aut], Llorenç Lledó [aut], Victòria Agudetse [ctb, cre], Eva Rifà [ctb], González-Reviriego Nube [ctb], Marcos Raül [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], Javier Corvillo [ctb], Alberto Bojaly [ctb], Theertha Kariyathan [ctb], BSC-CNS [cph] Maintainer: Victòria Agudetse Repository: https://cran.r-universe.dev Date/Publication: 2026-03-11 11:20:14 UTC RemoteUrl: https://github.com/cran/CSIndicators RemoteRef: HEAD RemoteSha: 828ddac47cb3709e2937727c4d99212dcf3106f6