Provides functions to retrieve information from Web Feature Service (WFS) and Web Map Service (WMS) layers
    from various Argentine organizations and import them into R for further analysis.
    WFS and WMS are standardized protocols for serving georeferenced map data over the internet.
    For more information on these services, see <https://www.ogc.org/publications/standard/wfs/> and <https://www.ogc.org/publications/standard/wms/>.

Provides methods to construct frequentist confidence sets with valid marginal 
    coverage for identifying the population-level argmin or argmax based on IID data. 
    For instance, given an n by p loss matrix—where n is the sample size and p is the 
    number of models—the CS.argmin() method produces a discrete confidence set that contains 
    the model with the minimal (best) expected risk with desired probability. The argmin.HT() 
    method helps check if a specific model should be included in such a confidence set. The main
    implemented method is proposed by Tianyu Zhang, Hao Lee and Jing Lei (2024) 
    "Winners with confidence: Discrete argmin inference with an application to model selection".

Augmented Regression with General Online data (ARGO) for accurate estimation of influenza epidemics in United States on national level, regional level and state level. It replicates the method introduced in paper Yang, S., Santillana, M. and Kou, S.C. (2015) <doi:10.1073/pnas.1515373112>; Ning, S., Yang, S. and Kou, S.C. (2019) <doi:10.1038/s41598-019-41559-6>; Yang, S., Ning, S. and Kou, S.C. (2021) <doi:10.1038/s41598-021-83084-5>.

Supports the analysis of oceanographic data recorded by Argo autonomous drifting profiling floats. Functions are provided to (a) download and cache data files, (b) subset data in various ways, (c) handle quality-control flags and (d) plot the results according to oceanographic conventions. A shiny app is provided for easy exploration of datasets. The package is designed to work well with the 'oce' package, providing a wide range of processing capabilities that are particular to oceanographic analysis. See Kelley, Harbin, and Richards (2021) <doi:10.3389/fmars.2021.635922> for more on the scientific context and applications.