wsbackfit
Weighted Smooth Backfitting for Structured Models
Non- and semiparametric regression for generalized additive, partial linear, and varying coefficient models as well as their combinations via smoothed backfitting. Based on Roca-Pardinas J and Sperlich S (2010) doi:10.1007/s11222-009-9130-2; Mammen E, Linton O and Nielsen J (1999) doi:10.1214/aos/1017939138; Lee YK, Mammen E, Park BU (2012) doi:10.1214/12-AOS1026.
- Version1.0-5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/04/2021
Documentation
Team
Javier Roca-Pardinas
Maria Xose Rodriguez-Alvarez
Alan Miller
Show author detailsRolesContributorStefan Sperlich
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 144 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 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,174 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 34 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN