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Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
| Version: | 1.2-17 |
| Depends: | R (≥ 2.15.0), mgcv (≥ 1.8-2) |
| Imports: | methods, stats, graphics, Matrix, splines |
| Suggests: | nlme |
| Published: | 2024-06-19 |
| DOI: | 10.32614/CRAN.package.scam |
| Author: | Natalya Pya |
| Maintainer: | Natalya Pya <nat.pya at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | scam results |
| Reference manual: | scam.pdf |
| Package source: | scam_1.2-17.tar.gz |
| Windows binaries: | r-devel: scam_1.2-17.zip, r-release: scam_1.2-17.zip, r-oldrel: scam_1.2-17.zip |
| macOS binaries: | r-release (arm64): scam_1.2-17.tgz, r-oldrel (arm64): scam_1.2-17.tgz, r-release (x86_64): scam_1.2-17.tgz, r-oldrel (x86_64): scam_1.2-17.tgz |
| Old sources: | scam archive |
| Reverse depends: | zetadiv |
| Reverse imports: | cgaim, FlexGAM, GJRM, insurancerating, IRon, mobr, PoweREST, reReg, spicyR, sspse, trackeR |
| Reverse suggests: | CAST, gratia, marginaleffects, riskRegression, scar, schumaker |
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