Robust Marginal Integration Procedures
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Documentation for package ‘rmargint’ version 2.0.3
Help Pages
| rmargint-package | Robust marginal integration estimators for additive models. |
| deviance.margint | Deviance for objects of class 'margint' |
| fitted.values.margint | Fitted values for objects of class 'margint' |
| formula.margint | Additive model formula |
| k.epan | Epanechnikov kernel |
| kernel10 | Order 10 kernel |
| kernel4 | Order 4 kernel |
| kernel6 | Order 6 kernel |
| kernel8 | Order 8 kernel |
| margint.cl | Classic marginal integration procedures for additive models |
| margint.rob | Robust marginal integration procedures for additive models |
| my.norm.2 | Euclidean norm of a vector |
| plot.margint | Diagnostic plots for objects of class 'margint' |
| predict.margint | Fitted values for objects of class 'margint' |
| print.margint | Print a Marginal Integration procedure |
| psi.huber | Derivative of Huber's loss function. |
| psi.tukey | Derivative of Tukey's bi-square loss function. |
| residuals.margint | Residuals for objects of class 'margint' |
| rmargint | Robust marginal integration estimators for additive models. |
| summary.margint | Summary for additive models fits using a marginal integration procedure |
| summary.margint.cl | Summary for additive models fits using a marginal integration procedure |
| summary.margint.rob | Summary for additive models fits using a marginal integration procedure |