Читать книгу Computational Statistics in Data Science - Группа авторов - Страница 66

We attempted to evaluate the current statistical software landscape. Admittedly, our treatment has been focused by our experience. We have, however, sought to be fair in our appraisal and provide the burgeoning statistical programmer the information required to make strong tool selection choices and increase their performance. We begin by in‐depth discussions of the most‐popular statistical software, followed by brief descriptions of many other noteworthy tools, and then finally highlighted a handful of emerging statistical software. We hope that this organization is useful, but note that it is solely based on our experiences and informal popularity studies [4]. We also provided a limited prognostication with regard to the statistical software future by identifying issues and applications likely to shape software development. We realize, of course, that the future is usually full of surprises and only time will tell what actually occurs.