High-Performance Open-Source Archive
Implementation for kernel functional partial least squares (KFPLS) method. KFPLS method is developed for functional nonlinear models, and the method does not require strict constraints for the nonlinear structures. The crucial function of this package is KFPLS().
| Version: | 1.0 |
| Imports: | fda, splines, stats |
| Published: | 2023-01-10 |
| DOI: | 10.32614/CRAN.package.KFPLS |
| Author: | Rou Zhong [aut, cre], Jingxiao Zhang [aut] |
| Maintainer: | Rou Zhong <zhong_rou at 163.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | KFPLS results |
| Reference manual: | KFPLS.html , KFPLS.pdf |
| Package source: | KFPLS_1.0.tar.gz |
| Windows binaries: | r-devel: KFPLS_1.0.zip, r-release: KFPLS_1.0.zip, r-oldrel: KFPLS_1.0.zip |
| macOS binaries: | r-release (arm64): KFPLS_1.0.tgz, r-oldrel (arm64): KFPLS_1.0.tgz, r-release (x86_64): KFPLS_1.0.tgz, r-oldrel (x86_64): KFPLS_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=KFPLS to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.