Bayesian inference algorithms based on the population-based "differential evolution" (DE) algorithm. Users can obtain posterior mode (MAP) estimates via DEMAP, posterior samples via DEMCMC, and variational approximations via DEVI.

A general framework using mixture Weibull distributions to accurately predict biomarker-guided trial duration accounting for heterogeneous population. Extensive simulations are performed to evaluate the impact of heterogeneous population and the dynamics of biomarker characteristics and disease on the study duration. Several influential parameters including median survival time, enrollment rate, biomarker prevalence and effect size are identified. Efficiency gains of biomarker-guided trials can be quantitatively compared to the traditional all-comers design. For reference, see Zhang et al. (2024) <arXiv:2401.00540>.

Supports propensity score-based methods—including matching, stratification, and weighting—for estimating causal treatment effects. It also implements calibration using negative control outcomes to enhance robustness. 'debiasedTrialEmulation' facilitates effect estimation for both binary and time-to-event outcomes, supporting risk ratio (RR), odds ratio (OR), and hazard ratio (HR) as effect measures. It integrates statistical modeling and visualization tools to assess covariate balance, equipoise, and bias calibration. Additional methods—including approaches to address immortal time bias, information bias, selection bias, and informative censoring—are under development. Users interested in these extended features are encouraged to contact the package authors.

A statistically and computationally efficient debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes.
    The reference paper is Zhang, Giessing, and Chen (2023) <arXiv:2309.06429>.

Shiny application that performs bifurcation and phaseplane analysis of systems of ordinary 
    differential equations. The package allows for computation of equilibrium curves as a function of 
    a single free parameter, detection of transcritical, saddle-node and hopf bifurcation points along 
    these curves, and computation of curves representing these transcritical, saddle-node and hopf 
    bifurcation points as a function of two free parameters. The shiny-based GUI allows visualization 
    of the results in both 2D- and 3D-plots. The implemented methods for solution localisation and curve
    continuation are based on the book "Elements of applied bifurcation theory" (Kuznetsov, Y. A., 1995;
    ISBN: 0-387-94418-4).