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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 |
DOI: | 10.32614/CRAN.package.wsbackfit |
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 uvigo.es> |
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: wsbackfit_1.0-5.zip, r-release: wsbackfit_1.0-5.zip, r-oldrel: wsbackfit_1.0-5.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.