Springer | 2007 | 267 blz. | Jim Albert

- Introduces Bayesian modeling by use of computation using the R language
- Presents the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems
- Several examples illustrate the use of R to interface with WinBUGS

Tutorial for Users, Intermediate and Advanced Level, behandelt US versie

boek | 14732-A1 | € 36,90 (34,81 excl. BTW) | ISBN: 9780387713847 / 0387713840 | Engels US

Springer | 2008 | 152 blz. | Phil Spector

- Provides guidance on getting data into R from text files, web pages, spreadsheets, databases and other sources
- Demonstrates techniques that use core features of the R language, and are scalable and efficient
- Covers many built in functions along with selected packages from CRAN

Tutorial for Users, Intermediate and Advanced Level, behandelt US versie voor Windows, Linux, Macintosh

boek | 14733-A4 | € 39,90 (37,64 excl. BTW) | ISBN: 9780387747309 / 0387747303 | Engels US