Changes in version 2025-09-02                      

  - Updated USincarcerations

                     Changes in version 2025-08-27                      

  - Updated "USGDPpresidents"

                     Changes in version 2022-10-13                      

  - Updated "terrorism" to 2020.

                     Changes in version 2022-07-01                      

  - Replaced non-breaking spaces that used Latin-1 encoding with " "
    in 4 "demoFiles/NIPA6.16*.csv" files, because the said non-breaking
    spaces were not valid in UTF-8 and were rejected by a development
    version of R.

                     Changes in version 2022-06-14                      

  - Adds new datasets "USnewspapers"" and "USPS"" (US Postal Service)
    while adding federal government budget data to "USGDPpresidents".

                     Changes in version 2020-11-01                      

  - Deletes ~demoFiles/*_data.xls, because they were used to test
    Ecfun::financialDataFiles and Ecfun::readFinancialDataFiles, and
    those two functions were removed, because they used gdata, which was
    not being maintained, and the work required to maintain them
    exceeded the current need of the maintainer.

                     Changes in version 2020-02-08                      

  - Adds variables popM, popYr, GDP_B, and GDPyr to data set
    "nuclearWeaponStates".

                     Changes in version 2019-12-05                      

  - Corrects the description of Crime$density to read, "hundreds of
    people per square mile" from "people per square mile". Thanks to
    Yungfong "Frank" Tang for identifying this error and confirming the
    needed correction.

                     Changes in version 2019-11-05                      

  - Adds variable 'firstTestYr' to 'nuclearWeaponStates'. It also
    corrects an error in the 'Mroz' data set, in that "work" had the
    names of the levels incorrectly swapped.

                 Changes in version 0.3-3 (2019-09-29)                  

  - Adds data set "nuclearWeaponStates", which might be used to model
    the probability distribution of the time to the next new nuclear
    weapon state.