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CSIndicators  

Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CSIndicators", "1.1.1")



Attach the package and use:
library("CSIndicators")
Maintained by
Victòria Agudetse
[Scholar Profile | Author Map]
First Published: 2021-05-07
Latest Update: 2023-05-18
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, ...). 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 'P
How to cite:
Victòria Agudetse (2021). CSIndicators: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions. R package version 1.1.1, https://cran.r-project.org/web/packages/CSIndicators. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.0.1 (2021-05-07 10:40), 0.0.2 (2022-10-22 14:37), 1.0.0 (2023-04-05 21:23), 1.0.1 (2023-05-18 20:10), 1.1.0 (2023-11-20 16:10), 1.1.1 (2024-01-24 15:43)
Other packages that cited CSIndicators R package
View CSIndicators citation profile
Other R packages that CSIndicators depends, imports, suggests or enhances
Complete documentation for CSIndicators
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