Statistical computing in C++ and R
With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writi...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2011.
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| Edition: | 1st edition |
| Series: | Chapman & Hall/CRC the R series (CRC Press)
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629805606719 |
Table of Contents:
- Front Cover; Dedication; Preface; Contents; List of Algorithms; 1. Introduction; 2. Computer representation of numbers; 3. A sketch of C++; 4. Generation of pseudo-random numbers; 5. Programming in R; 6. Creating classes and methods in R; 7. Numerical linear algebra; 8. Numerical optimization; 9. Abstract data structures; 10. Data structures in C++; 11. Parallel computing in C++ and R; A. An introduction to Unix; B. An introduction to R; C. C++ library extensions (TR1); D. The Matrix and Vector classes; E. The ranGen class; References
