Estimate the size of a networked population based on
    respondent-driven sampling data. The package is part of the "RDS Analyst"
    suite of packages for the analysis of respondent-driven sampling data.
    See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>,
    Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>,
    Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and
    McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.

An implementation of semi-supervised regression methods including self-learning and co-training by committee based on Hady, M. F. A., Schwenker, F., & Palm, G. (2009) <doi:10.1007/978-3-642-04274-4_13>. Users can define which set of regressors to use as base models from the 'caret' package, other packages, or custom functions.

'Takea Semantic Structure Analysis' (TSSA) and 'Sakai Sequential 
    Relation Analysis' (SSRA) for polytomous items. Package includes functions for
    generating a sequential relation table and a treegram to visualize the
    sequential relations between pairs of items.

Implements stress-strength reliability models under a dependent framework,
 where both stress and strength variables follow modified Weibull distributions and their
 dependence is modeled using a Clayton copula (Kizilaslan (2026) <doi:10.48550/arXiv.2604.12130>). 
 The package provides several estimation procedures for
 model parameters and the stress-strength reliability R, including two-step maximum likelihood
 estimation (MLE), least squares estimation (LSE), weighted least squares estimation (WLSE),
 and maximum product of spacings (MPS). It also provides interval estimation using asymptotic
 confidence intervals based on MLE and bootstrap confidence intervals for all methods. 
 In addition, functions are included for parameter estimation of the modified Weibull distribution
 (Lai et al. (2003) <doi:10.1109/TR.2002.805788>) and the two-parameter Weibull distribution,
 along with utilities to compute their probability density function, cumulative distribution
 function, quantile function, and to generate random samples.