Feature Selection with Annealing for Sparse Generalized Linear Models

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Documentation for package ‘glmfsa’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

coef.cv.fsa	Methods for cross-validated FSA fits
coef.fsa	Extract coefficients from a fitted FSA model
cv.fsa	Cross-validation for FSA
cv.fsa-methods	Methods for cross-validated FSA fits
deviance.fsa	Deviance of a fitted FSA model
dexter	Dexter: text categorization with 20,000 features and 300 observations
fetch_gisette	Download the Gisette dataset
fitted.fsa	Predict from a fitted FSA model
fsa	Fit a sparse generalized linear model by Feature Selection with Annealing
fsa_losses	Per-observation classification losses used by FSA
plot.cv.fsa	Methods for cross-validated FSA fits
plot.fsa	Plot the coefficient path of a fitted FSA model
plot_schedule	Plot an annealing schedule
plot_trace	Plot the annealing trajectory
predict.cv.fsa	Methods for cross-validated FSA fits
predict.fsa	Predict from a fitted FSA model
print.cv.fsa	Methods for cross-validated FSA fits
print.fsa	Print a fitted FSA model
summary.fsa	Print a fitted FSA model