An advanced version of package 's2dverification'. Intended for 
    seasonal to decadal (s2d) climate forecast verification, but also applicable
    to other types of forecasts or general climate analysis. This package is 
    specifically designed for comparing experimental and observational datasets. 
    It provides functionality for data retrieval, post-processing, skill score 
    computation against observations, and 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 Climate Data Operators (CDO) version used in 
    development is 1.9.8. Implements methods described in Wilks (2011) 
    <doi:10.1016/B978-0-12-385022-5.00008-7>, DelSole and Tippett 
    (2016) <doi:10.1175/MWR-D-15-0218.1>, Kharin et al. (2012) 
    <doi:10.1029/2012GL052647>, Doblas-Reyes et al. (2003) 
    <doi:10.1007/s00382-003-0350-4>.

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.

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'.