The advanced version of package 's2dverification'. It is 
    intended for 'seasonal to decadal' (s2d) climate forecast verification, but 
    it can also be used in other kinds of forecasts or general climate analysis.  
    This package is specially designed for the comparison between the experimental 
    and observational datasets. The functionality of the included functions covers 
    from data retrieval, data post-processing, skill scores against observation, 
    to visualization. Compared to 's2dverification', 's2dv' is more compatible 
    with the package 'startR', able to use multiple cores for computation and 
    handle multi-dimensional arrays with a higher flexibility. The CDO version used
    in development is 1.9.8.

Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models.  We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 <doi:10.1080/10618600.2012.657139> for references on the Joint Trained Elastic-Net.

Download files hosted on 'AWS S3' (Amazon Web Services Simple Storage Service; <https://aws.amazon.com/s3/>) to a local directory based on their URI. Avoid downloading files that are already present locally.  Allow for customization of where to store downloaded files.

A S3 resource is provided by Amazon Web Services S3 or a S3-compatible object store (such as Minio). 
    The resource can be a tidy file to be downloaded from the object store, or a data lake (such as Delta Lake) 
    Parquet file to be read by Apache Spark.

Access 'Amazon Web Service Simple Storage Service' ('S3') <https://aws.amazon.com/s3/>
    as if it were a file system. Interface based on the R package 'fs'.