Package index • AdaReFun

Adaptive regional models

One specification or an independent-validation choice among four.

arfc(): Fit adaptive regional folded-concave functional regression
arfc_select(): Select the ARFC penalty family and resolution by validation loss
arfc_control(): Control adaptive regional folded-concave fitting

Fixed-resolution comparators

fmcp() fMCP() FMCP(): Fit functional MCP (fMCP) regression
fscad() fSCAD(): Fit functional SCAD regression
fmcp_control(): Control numerical details of fMCP and fSCAD fitting

Inspect, predict and visualize

coef(<arfc>) predict(<arfc>) fitted(<arfc>) residuals(<arfc>) nobs(<arfc>) print(<arfc>) summary(<arfc>) print(<summary.arfc>) plot(<arfc>): Methods for an ARFC fit
coef(<arfc_select>) predict(<arfc_select>) fitted(<arfc_select>) residuals(<arfc_select>) nobs(<arfc_select>) print(<arfc_select>) summary(<arfc_select>) print(<summary.arfc_select>) plot(<arfc_select>): Methods for an ARFC-Select fit
coef(<fmcp>): Model coefficients for an fMCP fit
coef(<fscad>): Model coefficients for an fSCAD fit
predict(<fmcp>) fitted(<fmcp>) residuals(<fmcp>): Predict from an fMCP fit
predict(<fscad>) fitted(<fscad>) residuals(<fscad>): Predict from an fSCAD fit
plot(<fmcp>): Plot an fMCP coefficient function
plot(<fscad>): Plot an fSCAD coefficient function
print(<fmcp>): Print an fMCP fit
print(<fscad>): Print an fSCAD fit
summary(<fmcp>) print(<summary.fmcp>): Summarize an fMCP fit
summary(<fscad>) print(<summary.fscad>): Summarize an fSCAD fit
nobs(<fmcp>): Number of observations in an fMCP fit
nobs(<fscad>): Number of observations in an fSCAD fit

Package

AdaReFun AdaReFun-package: AdaReFun: Adaptive Regional Functional Regression