gamclass
Functions and Data for a Course on Modern Regression and Classification
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.62.7 |
rolling source/ R- | gamclass_0.62.7.tar.gz |
1.9 MiB |
0.62.7 |
rolling linux/jammy R-4.5 | gamclass_0.62.7.tar.gz |
2.8 MiB |
0.62.7 |
latest source/ R- | gamclass_0.62.7.tar.gz |
1.9 MiB |
0.62.7 |
latest linux/jammy R-4.5 | gamclass_0.62.7.tar.gz |
2.8 MiB |
0.62.7 |
2026-04-23 source/ R- | gamclass_0.62.7.tar.gz |
1.9 MiB |
0.62.7 |
2026-04-09 windows/windows R-4.5 | gamclass_0.62.7.zip |
2.8 MiB |
0.62.5 |
2025-04-20 source/ R- | gamclass_0.62.5.tar.gz |
1.9 MiB |