paramsim - Parameterized Simulation
This function obtains a Random Number Generator (RNG) or
collection of RNGs that replicate the required parameter(s) of
a distribution for a time series of data. Consider the case of
reproducing a time series data set of size 20 that uses an
autoregressive (AR) model with phi = 0.8 and standard deviation
equal to 1. When one checks the arima.sin() function's
estimated parameters, it's possible that after a single trial
or a few more, one won't find the precise parameters. This
enables one to look for the ideal RNG setting for a simulation
that will accurately duplicate the desired parameters.
