rmargint
Robust Marginal Integration Procedures
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.
- Version2.0.3
- R versionunknown
- LicenseGPL (≥ 3.0)
- Needs compilation?Yes
- Last release10/23/2023
Team
Alejandra Martinez
Matias Salibian-Barrera
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Last 30 days
This package has been downloaded 204 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 2,561 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 30 downloads.
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