mda v0.5-2
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Mixture and Flexible Discriminant Analysis
Mixture and flexible discriminant analysis, multivariate
adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines.
Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.
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mda
Functions in mda
Name | Description | |
mars | Multivariate Adaptive Regression Splines | |
mda | Mixture Discriminant Analysis | |
mspline | Vector Smoothing Spline | |
glass | Glass Identification Database | |
laplacian | create penalty object for two-dimensional smoothing. | |
mda.start | Initialization for Mixture Discriminant Analysis | |
polyreg | Polynomial Regression | |
bruto | Fit an Additive Spline Model by Adaptive Backfitting | |
predict.mda | Classify by Mixture Discriminant Analysis | |
softmax | Find the Maximum in Each Row of a Matrix | |
ESL.mixture | Mixture example from "Elements of Statistical Learning" | |
predict.bruto | Predict method for BRUTO Objects | |
plot.fda | Plot for Flexible Discriminant Analysis | |
model.matrix.mars | Produce a Design Matrix from a `mars' Object | |
predict.mars | Predict method for MARS Objects | |
predict.fda | Classify by Flexible Discriminant Analysis | |
fda | Flexible Discriminant Analysis | |
confusion | Confusion Matrices | |
gen.ridge | Penalized Regression | |
coef.fda | Produce coefficients for an fda or mda object | |
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Details
Date | 2020-06-26 |
License | GPL-2 |
Packaged | 2020-06-27 01:20:36 UTC; hastie |
Repository | CRAN |
Date/Publication | 2020-06-29 17:00:08 UTC |
NeedsCompilation | yes |
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