person("BSC-CNS", role = c("aut", "cph")),
person("Alasdair", "Hunter", , "alasdair.hunter@bsc.es", role = "aut"),
person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = "ctb"),
person("Louis-Philippe", "Caron", , "louis-philippe.caron@bsc.es", role = "ctb"))
Description: Compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Imports: multiApply, climdex.pcic, PCICt, plyr, stats

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Imports: multiApply (>= 2.0.0), climdex.pcic, PCICt, plyr, stats

Description: Set of tools to compute metrics and indices for climate analysis.
The package provides functions to compute extreme indices, evaluate the
agreement between models and combine theses models into an ensemble. Multi-model
time series of climate indices can be computed either after averaging the 2-D
fields from different models provided they share a common grid or by combining
time series computed on the model native grid. Indices can be assigned weights
and/or combined to construct new indices.

Imports: multiApply (>= 2.0.0), PCICt, plyr, stats

Imports: multiApply (>= 2.0.0), PCICt, plyr, climdex.pcic, stats
Suggests: knitr, testthat, markdown, rmarkdown