Experiences studies are an integral component of the actuarial 
    control cycle. Regardless of the decrement or policyholder behavior of 
    interest, the analyses conducted is often the same. Ultimately, this 
    package aims to reduce time spent writing the same code used for 
    different experience studies, therefore increasing the time for to uncover
    new insights inherit within the relevant experience.

Analysis of experimental results and automatic report generation in both interactive HTML and LaTeX. This package ships with a rich interface for data modeling and built in functions for the rapid application of statistical tests and generation of common plots and tables with publish-ready quality.

Estimation for high conditional quantiles based on quantile regression.

A system for batch-marking data analysis to estimate survival probabilities, capture probabilities, and enumerate the population abundance for both marked and unmarked individuals. The estimation of only marked individuals can be achieved through the batchMarkOptim() function. Similarly, the combined marked and unmarked can be achieved through the batchMarkUnmarkOptim() function. The algorithm was also implemented for the hidden Markov model encapsulated in batchMarkUnmarkOptim() to estimate the abundance of both marked and unmarked individuals in the population. The package is based on the paper: "Hidden Markov Models for Extended Batch Data" of Cowen et al. (2017) <doi:10.1111/biom.12701>.

A consistent, unified and extensible
    framework for estimation of parameters for probability distributions,
    including parameter estimation procedures that allow for weighted samples;
    the current set of distributions included are: the standard beta,
    The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace,
    logistic, normal, symmetric truncated normal, truncated normal,
    symmetric-reflected truncated beta, standard symmetric-reflected truncated
    beta, triangular, uniform, and Weibull distributions; decision criteria
    and selections based on these decision criteria.