Robust Marginal Integration Procedures
Overview
Three robust marginal integration procedures for additive models based on local polynomial kernel smoothers. As a preliminary estimator of the multivariate function for the marginal integration procedure, a first approach uses local constant M-estimators, a second one uses local polynomials of order 1 over all the components of covariates, and the third one uses M-estimators based on local polynomials but only in the direction of interest. For this last approach, estimators of the derivatives of the additive functions can be obtained. All three procedures can compute predictions for points outside the training set if desired. See Boente and Martinez (2017) doi:10.1007/s11749-016-0508-0 for details.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 19includes a package overview page
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 16%
Downloads
Dependencies
Installing rmargint adds no packages beyond those that come with R.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.3Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.0.22020-08-05 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.22019-06-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-06-28
- Total releases
- 3 / 7 yrs
- License
- GPL (>= 3.0)
- Download size
- 19 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("rmargint")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.