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 inference, maximum likelihood, and AIC, BIC, and RMSE for goodness-of-fit.

Provides tools for fitting the copCAR (Hughes, 2015)
    <DOI:10.1080/10618600.2014.948178> regression model for discrete
	areal data. Three types of estimation are supported (continuous
	extension, composite marginal likelihood, and distributional transform),
	for three types of outcomes (Bernoulli, negative binomial, and Poisson).

Correlates of protection (CoP) and correlates of risk (CoR) study the immune biomarkers associated with an infectious disease outcome, e.g. COVID or HIV-1 infection. This package contains shared functions for analyzing CoP and CoR, including bootstrapping procedures, competing risk estimation, and bootstrapping marginalized risks.

Semiparametric estimation for censored time series
    with lower detection limit. The latent response is a sequence of
    stationary process with Markov property
    of order one.
    Estimation of copula parameter(COPC) and Conditional quantile estimation
    are included for five available copula functions.
    Copula selection methods based on L2 distance from empirical copula function
    are also included.