Man pages for jeremyrcoyle/mangolassi
The Scalable Highly Adaptive Lasso

apply_copy_mapApply copy map
as_dgCMatrixFast Coercion to Sparse Matrix
basis_list_colsList Basis Functions
basis_of_degreeCompute Degree of Basis Functions
calc_pnzCalculate Proportion of Nonzero Entries
calc_xscaleCalculating Centered and Scaled Matrices
enumerate_basisEnumerate Basis Functions
enumerate_edge_basisEnumerate Basis Functions at Generalized Edges
evaluate_basisGenerate Basis Functions
fit_halHAL: The Highly Adaptive Lasso
formula_halHAL Formula: Convert formula or string to 'formula_HAL'...
generate_all_rulesGenerates rules based on knot points of the fitted HAL basis...
hHAL Formula term: Generate a single term of the HAL basis
hal9000HAL 9000 Quotes
hal9001hal9001
hal_quotesHAL9000 Quotes from "2001: A Space Odyssey"
index_first_copyFind Copies of Columns
make_basis_listSort Basis Functions
make_copy_mapBuild Copy Maps
make_design_matrixBuild HAL Design Matrix
make_reduced_basis_mapMass-based reduction of basis functions
meets_basisCompute Values of Basis Functions
num_knots_generatorA default generator for the 'num_knots' argument for each...
plus-.formula_hal9001HAL Formula addition: Adding formula term object together...
predict.hal9001Prediction from HAL fits
predict.SL.hal9001predict.SL.hal9001
print.formula_hal9001Print formula_hal9001 object
print.summary.hal9001Print Method for Summary Class of HAL fits
quantizerDiscretize Variables into Number of Bins by Unique Values
SL.hal9001Wrapper for Classic SuperLearner
squash_hal_fitSquash HAL objects
summary.hal9001Summary Method for HAL fit objects
jeremyrcoyle/mangolassi documentation built on Nov. 18, 2023, 6:22 p.m.