This library includes classes to support the following analyses and operations.

** EconEvalClasses.py **

1. To identify strategies that are on the cost-effectiveness frontier.
2. To produce the table summarizing the result of the cost-effectiveness analysis.
3. To produce cost-effectiveness planes.
4. To calculate confidence intervals and projection intervals for ICER estimates.

** RandomVariateGenerators.py **

1. To generate (thread-safe) realizations from various probability distributions.

** SamplePathClasses.py **

1. To record a sample path (prevalence) as the function of simulate time.
2. To graph sample path(s).

** StatisticalClasses.py **
To calculate sample mean, sample standard deviation, min, max, q-th percentile, t-based confidence interval, empirical bootstrap confidence interval and percentile interval for:

1. random variable X when realizations of X are available in batch,
2. random variable X when realizations of X become available over time,
3. random variable X(t) when X(t) is a continuous function of simulate time,
4. random variable Z = X-Y, and
5. random variable X = X/Y.

** InOutFunctions.py **

1. To write a list of lists to a csv file.
2. To read a matrix from a csv file and return in format of list of lists.