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rmargint

2.0.3Package record

Robust Marginal Integration Procedures

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 2.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.3
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

2.2K
CRAN downloads in the past year
Rank #24,630 · ~6/day · ~186/mo
Daily download trend is not available in this view yet.
20730 days
47690 days
2.2K1 year
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Also on346 r2u6 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing rmargint adds no packages beyond those that come with R.

Depends (0)
none
Imports (2)
statsgraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.2 (2019)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0.3Latest
    record
    2023-10-23 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.2
    record
    2020-08-05 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.2
    record
    2019-06-28
  • R
    R 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")
Martinez, A., & Salibian-Barrera, M. (2023). rmargint: Robust Marginal Integration Procedures (Version 2.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rmargint version 2.0.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

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.

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