Package: wsbackfit 1.0-5
Javier Roca-Pardinas
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>.
Authors:
wsbackfit_1.0-5.tar.gz
wsbackfit_1.0-5.tar.gz(r-4.5-noble)wsbackfit_1.0-5.tar.gz(r-4.4-noble)
wsbackfit_1.0-5.tgz(r-4.4-emscripten)wsbackfit_1.0-5.tgz(r-4.3-emscripten)
wsbackfit.pdf |wsbackfit.html✨
wsbackfit/json (API)
NEWS
| # Install 'wsbackfit' in R: |
| install.packages('wsbackfit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- infect - Postoperative Infection Data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:5ec463b506. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux-x86_64 | OK | Oct 31 2024 |
Exports:plot.sbackpredict.sbackprint.sbackresiduals.sbacksbsbacksummary.sback
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weighted Smooth Backfitting for Structured Models | wsbackfit-package wsbackfit |
| Postoperative Infection Data. | infect |
| Default sback plotting | plot.sback |
| Predict method for sback fits | predict.sback |
| Print a 'sback' object. | print.sback |
| sback residuals | residuals.sback |
| Specify a nonparametric and/or a varying coefficient term in a wsbackfit formula | sb |
| Generalized additive and partially linear models | sback |
| Summary for a 'sback' fitted object | summary.sback |