Package index • aplms

All functions

AIC(<aplms>): Akaike information criterion

aplms.diag.plot(): Diagnostic Plots for additive partial linear models with symmetric errors

aplms() print(<aplms>): Fitting Additive partial linear models with symmetric errors

BIC(<aplms>): Bayesian information criterion

coef(<aplms>): Extract the coefficients of the fitted APLMS model

family(<elliptical>) Normal() Cauchy() LogisI() LogisII() Student() Powerexp() Glogis() Gstudent() Cnormal() GNormal(): Family Objects for Elliptical Models

hospitalization: Respiratory diseases hospitalization Dataset

influence(<aplms>): local influence analysis of the object `aplms()`

influenceplot.aplms(): Local influence plots of the object `aplms()`

plot(<aplms>): Default APLMS plotting

residuals(<aplms>): Extract Residuals for APLMS fits

summary(<aplms>): Print method for "aplms" class

temperature: Global Annual Mean Surface Air Temperature Change