Statistical Models in S
Book information
Description
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.
Similar books
R in Action: Data Analysis and Graphics with R (Additional materials)
RAR
Using R for Data Analysis and Graphics: Introduction, Code and Commentary
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
R Data Visualization Cookbook
Теория пространственных точечных процессов в задачах экологии и природопользования (с применением пакета R)
RAR
Environmental Stats for S-Plus: User's Manual for Version 2.0
RMark: An R Interface for Analysis of Capture-Recapture Data with MARK
