The TEQR package contains software to calculate the operating characteristics for the TEQR and the ACT designs.The TEQR (toxicity equivalence range) design is a toxicity based cumulative cohort design with added safety rules. The ACT (Activity constrained for toxicity) design  is also a cumulative cohort design with additional safety rules. The unique feature of this design is that dose is escalated based on lack of activity rather than on lack of toxicity and is de-escalated only if an unacceptable level of toxicity is experienced.

An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis. See Krivitsky and Handcock (2014) <doi:10.1111/rssb.12014> and Carnegie, Krivitsky, Hunter, and Goodreau (2015) <doi:10.1080/10618600.2014.903087>.

Provides functions for the computationally efficient simulation of 
    dynamic networks estimated with the statistical framework of temporal 
    exponential random graph models, implemented in the 'tergm' package.

Creates, manipulates, queries and repairs vectors of
    parameter terms.  Parameter terms are the labels used to reference
    values in vectors, matrices and arrays. They represent the names in
    coefficient tables and the column names in 'mcmc' and 'mcmc.list'
    objects.

Implements simulated tests for the hypothesis that terminal digits are uniformly
    distributed (chi-squared goodness-of-fit) and the hypothesis that terminal digits
    are independent from preceding digits (several tests of independence for r x c 
    contingency tables). Also, for a number of distributions, implements Monte Carlo 
    simulations for type I errors and power for the test of independence.

Table, Listings, and Graphs (TLG) library for common outputs
    used in clinical trials.

Generalized estimating equations (GEE) are a popular choice
    for analyzing longitudinal binary outcomes. This package provides an
    interface for fitting GEE, currently for logistic regression, within
    the 'tern' <https://cran.r-project.org/package=tern> framework (Zhu,
    Sabanés Bové et al., 2023) and tabulate results easily using 'rtables'
    <https://cran.r-project.org/package=rtables> (Becker, Waddell et al.,
    2023).  It builds on 'geepack' <doi:10.18637/jss.v015.i02> (Højsgaard,
    Halekoh and Yan, 2006) for the actual GEE model fitting.