  We introduce an \verb|R| package, called \verb|MPS|, for computing the
probability density function, computing the cumulative distribution function,
computing the quantile function, simulating random variables, and estimating
the parameters of 24 new shifted families of distributions. By considering an
extra shift (location) parameter for each family more flexibility yields. Under
some situations, since the maximum likelihood estimators may fail to exist, we
adopt the well-known maximum product spacings approach to estimate the
parameters of shifted 24 new families of distributions. The performance of the
\verb|MPS| package for computing the cdf, pdf, and simulating random samples
will be checked by examples. The performance of the maximum product spacings
approach is demonstrated by executing \verb|MPS| package for three sets of real
data. As it will be shown, for the first set, the maximum likelihood estimators
break down but \verb|MPS| package find them. For the second set, adding the
location parameter leads to acceptance the model while absence of the location
parameter makes the model quite inappropriate. For the third set, presence of
the location parameter yields a better fit.
