Contains the core functions associated with Fast
        Regularized Canonical Correlation Analysis. Please see the following for
        details: Raul Cruz-Cano, Mei-Ling Ting Lee, 
        Fast regularized canonical correlation analysis, 
        Computational Statistics & Data Analysis, 
        Volume 70, 2014, Pages 88-100, 
        ISSN 0167-9473 <doi:10.1016/j.csda.2013.09.020>.

Contains the methods proposed by Geyer and Meeden (2005)<doi:10.1214/088342305000000340> and Trigo et al. (2025) <doi:10.47749/T/UNICAMP.2025.1500297> to construct fuzzy confidence intervals. Compute and plot the fuzzy membership functions of the methods, and the expected length compared with the infimum.

Provides implementation of statistical methods for random objects 
    lying in various metric spaces, which are not necessarily linear spaces. 
    The core of this package is Fréchet regression for random objects with 
    Euclidean predictors, which allows one to perform regression analysis 
    for non-Euclidean responses under some mild conditions. 
    Examples include distributions in 2-Wasserstein space, 
    covariance matrices endowed with power metric (with Frobenius metric 
    as a special case), Cholesky and log-Cholesky metrics, spherical data.  
    References: Petersen, A., & Müller, H.-G. (2019) <doi:10.1214/17-AOS1624>.

Provides clean, tidy access to economic data from the 'Federal
    Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>.
    'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over
    800,000 time series from 118 sources covering GDP, employment, inflation,
    interest rates, trade, and more. Dedicated functions fetch series observations,
    search for series, browse categories, releases, and tags, and retrieve series
    metadata. Multiple series can be fetched in a single call, in long or wide
    format. Server-side unit transformations (percent change, log, etc.) and
    frequency aggregation are supported, with readable transform aliases such as
    'yoy_pct' and 'log_diff'. Real-time and vintage helpers (built on 'ALFRED')
    return a series as it appeared on a given date, the first-release version,
    every revision, or a panel of selected vintages. Data is cached locally for
    subsequent calls. This product uses the 'FRED' API but is not endorsed or
    certified by the 'Federal Reserve Bank of St. Louis'.