Automated flagging of common spatial and temporal
    errors in biological and paleontological collection data, for the use
    in conservation, ecology and paleontology. Includes automated tests to
    easily flag (and exclude) records assigned to country or province
    centroid, the open ocean, the headquarters of the Global Biodiversity
    Information Facility, urban areas or the location of biodiversity
    institutions (museums, zoos, botanical gardens, universities).
    Furthermore identifies per species outlier coordinates, zero
    coordinates, identical latitude/longitude and invalid coordinates.
    Also implements an algorithm to identify data sets with a significant
    proportion of rounded coordinates. Especially suited for large data
    sets. The reference for the methodology is: Zizka et al. (2019)
    <doi:10.1111/2041-210X.13152>.

Detects a variety of coordinated actions on social media and outputs the network of coordinated users along with related information.

Extensive functions for bivariate copula (bicopula) computations and related operations
 for bicopula theory. The lower, upper, product, and select other bicopula are implemented along
 with operations including the diagonal, survival copula, dual of a copula, co-copula, and
 numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical
 derivatives and inverses of a bicopula are provided through which simulation is implemented.
 Bicopula composition, convex combination, asymmetry extension, and products also are provided.
 Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau,
 Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer-
 Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and
 positive/negative quadrant dependency, left (right) increasing (decreasing) are available.
 Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, and
 Lcomoments for fit and inference, Lcomoment ratio diagrams, maximum likelihood,
 and AIC, BIC, and RMSE for goodness-of-fit.