Estimate different types of cluster robust standard errors (CR0, CR1, CR2) with degrees of freedom adjustments. Standard errors are computed based on 'Liang and Zeger' (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>. Functions used in Huang and Li <doi:10.3758/s13428-021-01627-0>, Huang, 'Wiedermann', and 'Zhang' <doi:10.1080/00273171.2022.2077290>, and Huang, 'Zhang', and Li (forthcoming: Journal of Research on Educational Effectiveness).

Features tools for exploring congruent phylogenetic birth-death models. It can construct the pulled speciation- and net-diversification rates from a reference model. Given alternative speciation- or extinction rates, it can construct new models that are congruent with the reference model. Functionality is included to sample new rate functions, and to visualize the distribution of one congruence class. See also Louca & Pennell (2020) <doi:10.1038/s41586-020-2176-1>.

Provides a reproducible framework for constructing and comparing
    gene regulatory networks by integrating chromatin accessibility footprint
    scores with matched RNA expression data. It implements context-specific
    enhancer-gene linking, transcription factor focused network analysis,
    differential network analysis, and regulatory topic modeling workflows for
    systematic exploration of gene regulation across conditions. Methodological
    background is described in Bentsen and others (2020)
    <doi:10.1038/s41467-020-18035-1>, Blei, Ng and Jordan (2003)
    <https://www.jmlr.org/papers/v3/blei03a.html>, and Chen, Li, Zhu and Chen
    (2015) <doi:10.48550/arXiv.1510.08628>.

Implements Cragg-Donald (1993) <doi:10.1017/S0266466600007519> and Stock and Yogo (2005) <doi:10.1017/CBO9780511614491.006> tests for weak instruments in R.

Provides R routine for the so called two-sample
        Cramer-Test.  This nonparametric two-sample-test on equality
        of the underlying distributions can be applied to 
        multivariate data as well as univariate data. It offers two 
        possibilities to approximate the critical value both of which 
        are included in this package.