Function reference • trac

Preprocessing Functions for preparing your data for `trac`.
`aggregate_to_level()`	Aggregate data to a fixed level
`tax_table_to_phylo()`	Convert a tax table to a phylo object
`phylo_to_A()`	Convert from phylo to the A matrix used in trac. Note this is similar to the A used in rare, but with the column of all ones (for the root) removed
Main trac functionality Functions for fitting `trac`, choosing tuning parameter, and making predictions
`trac()`	Perform tree-based aggregation
`cv_trac()`	Perform cross validation for tuning parameter selection
`predict_trac()`	Make predictions based on a trac fit
Plotting functions
Sparse log contrast functions
`sparse_log_contrast()`	Perform sparse log-contrast regression
`cv_sparse_log_contrast()`	Perform cross validation for tuning parameter selection for sparse log contrast
`plot_trac_path()`	Plot trac coefficient path
`plot_cv_trac()`	Make a plot of the output of cv_trac
An example data set A gut microbiome data set used in vignette
`sCD14`	sCD14 data
Refitting functions Functions for fitting unregularized versions subject to the sparsity constraints learned by trac or sparse log-contrast
`refit_trac()`	Refit subject to sparsity constraints
`refit_sparse_log_contrast()`	Refit subject to sparsity constraints

Reference