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>.

Version: 1.0-5
Depends: R (≥ 3.5.0)
Imports: graphics, stats
Published: 2021-05-04
Author: Javier Roca-Pardinas [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Stefan Sperlich [aut], Alan Miller (FORTRAN code lsq.f90: weighted least-squares module) [ctb]
Maintainer: Javier Roca-Pardinas <roca at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: wsbackfit results


Reference manual: wsbackfit.pdf


Package source: wsbackfit_1.0-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): wsbackfit_1.0-5.tgz, r-oldrel (arm64): wsbackfit_1.0-5.tgz, r-release (x86_64): wsbackfit_1.0-5.tgz, r-oldrel (x86_64): wsbackfit_1.0-5.tgz
Old sources: wsbackfit archive


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