S-Plus Software

  • Frank E. HarrellJr.
Part of the Springer Series in Statistics book series (SSS)

Abstract

The methods described in this book are useful in any regression model that involves a linear combination of regression parameters. The software that is described below is useful in the same situations. S30,308 functions allow interaction spline functions as well as a wide variety of predictor parameterizations for any regression function, and facilitate model validation by resampling.

Keywords

Design Library Penalize Maximum Likelihood Estimation Cholesterol Interaction Truncated Power Basis Compute Variance Inflation Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Frank E. HarrellJr.
    • 1
  1. 1.Department of BiostatisticsVanderbilt University School of MedicineNashvilleUSA

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