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Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. The functions are designed to make it straightforward to illustrate the use of cross-validation, the training/test approach, simulation, and model-based estimates of accuracy. Methods considered are Generalized Additive Modeling, Linear and Quadratic Discriminant Analysis, Tree-based methods, and Random Forests.
Package details |
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Author | John Maindonald |
Maintainer | John Maindonald <john@statsresearch.co.nz> |
License | GPL (>= 2) |
Version | 0.62.5 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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