Function reference • sail

Model Fitting Main functions for fitting the sail model
`sail()`	Fit Sparse Additive Interaction Model with Strong Heredity
`cv.sail()`	Cross-validation for sail
Methods for objects of class sail and cv.sail Method functions to extract relevant information from fitted objects
`predict(<sail>)` `coef(<sail>)`	Make predictions from a sail object
`predict(<cv.sail>)` `coef(<cv.sail>)`	Make predictions from a `cv.sail` object
`print(<sail>)`	Print Method for `sail` object
`plot(<sail>)`	Plot Method for `sail` object
`plot(<cv.sail>)`	Plot the cross-validation curve produced by `cv.sail`
Datasets Two datasets that ship with the package to illustrate usage
`sailsim`	Simulated Data Used in Bhatnagar et al. (2018+) Paper
`oasis`	OASIS Brain Data
Marginal Plots Visualize the relationship between the response and main effects or interactions
`plotMain()`	Plot Estimated Component Smooth Functions for Main Effects
`plotInter()`	Plot Interaction Effects from sail object
Simulate Data Reproduce the simulated data from the sail paper
`gendata()`	Simulation Scenario from Bhatnagar et al. (2018+) sail paper
`gendataPaper()`	Simulation Scenario from Bhatnagar et al. (2018+) sail paper
Internal Utility Functions Functions not really meant for the user
`Q_theta()`	Objective function
`createfolds()`	Create CV Folds
`cv.lspath()` `cvcompute()` `getmin()` `lambda.interp()`	Compute cross validation error
`design_sail()`	Sail design matrix
`SoftThreshold()` `l2norm()` `cbbPalette` `nonzero()` `check_col_0()`	Internal sail functions
`standardize()`	Standardize Data

Reference

Model Fitting

Methods for objects of class sail and cv.sail

Datasets

Marginal Plots

Simulate Data

Internal Utility Functions

Contents