It is an open source insurance claim simulation engine sponsored
    by the Casualty Actuarial Society. It generates individual insurance claims 
	including open claims, reopened claims, incurred but not reported claims 
	and future claims. It also includes claim data fitting functions to help set 
	simulation assumptions. It is useful for claim level reserving analysis.
	Parodi (2013) <https://www.actuaries.org.uk/documents/triangle-free-reserving-non-traditional-framework-estimating-reserves-and-reserve-uncertainty>.

Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple 
    competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms 
    of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the 
    fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival 
    curves for a given covariate profile. This approach accommodates any log-linear hazard function of 
    prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide 
    a plot method for visualizing incidence density via population time plots. Based on the case-base sampling 
    approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, 
    and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.

Cox model inference for relative hazard and covariate-specific pure risk estimated 
             from stratified and unstratified case-cohort data as described in 
             Etievant, L., Gail, M.H. (Lifetime Data Analysis, 2024) <doi:10.1007/s10985-024-09621-2>.

Allows users to identify similar cases for qualitative case studies using statistical matching methods.

Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons. Statistical Methods in Medical Research. 2024;0(0). <doi:10.1177/09622802241236933>).