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rmargint  

Robust Marginal Integration Procedures
View on CRAN: Click here


Download and install rmargint package within the R console
Install from CRAN:
install.packages("rmargint")

Install from Github:
library("remotes")
install_github("cran/rmargint")

Install by package version:
library("remotes")
install_version("rmargint", "2.0.3")



Attach the package and use:
library("rmargint")
Maintained by
Alejandra Martinez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-28
Latest Update: 2023-10-23
Description:
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) for details.
How to cite:
Alejandra Martinez (2019). rmargint: Robust Marginal Integration Procedures. R package version 2.0.3, https://cran.r-project.org/web/packages/rmargint. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.2 (2019-06-28 08:10), 2.0.2 (2020-08-05 00:50)
Other packages that cited rmargint R package
View rmargint citation profile
Other R packages that rmargint depends, imports, suggests or enhances
Complete documentation for rmargint
Functions, R codes and Examples using the rmargint R package
Some associated functions: deviance.margint . fitted.values.margint . formula.margint . k.epan . kernel10 . kernel4 . kernel6 . kernel8 . margint.cl . margint.rob . my.norm.2 . plot.margint . predict.margint . print.margint . psi.huber . psi.tukey . residuals.margint . rmargint-package . summary.margint . 
Some associated R codes: rmargint-fn.R .  Full rmargint package functions and examples
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