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Provides computational tools for estimating inverse regions and constructing the corresponding simultaneous outer and inner confidence regions. Acceptable input includes both one-dimensional and two-dimensional data for linear, logistic, functional, and spatial generalized least squares regression models. Functions are also available for constructing simultaneous confidence bands (SCBs) for these models. The definition of simultaneous confidence regions (SCRs) follows Sommerfeld et al. (2018) <doi:10.1080/01621459.2017.1341838>. Methods for estimating inverse regions, SCRs, and the nonparametric bootstrap are based on Ren et al. (2024) <doi:10.1093/jrsssc/qlae027>. Methods for constructing SCBs are described in Crainiceanu et al. (2024) <doi:10.1201/9781003278726> and Telschow et al. (2022) <doi:10.1016/j.jspi.2021.05.008>.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.4) |
| Imports: | dplyr, forcats, ggplot2, grDevices, patchwork, MASS, Matrix, matrixStats, metR, nlme, stats, tidyr, refund, reshape, tibble, rlang, magrittr, utils |
| Suggests: | knitr, mgcv, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-11-17 |
| DOI: | 10.32614/CRAN.package.SCoRES (may not be active yet) |
| Author: | Zhuoran Yu [aut, cre], Armin Schwartzman [aut], Junting Ren [aut], Julia Wrobel [aut] |
| Maintainer: | Zhuoran Yu <angela.yu at emory.edu> |
| BugReports: | https://github.com/AngelaYuStat/SCoRES/issues |
| License: | MIT + file LICENSE |
| URL: | https://angelayustat.github.io/SCoRES/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SCoRES results |
| Reference manual: | SCoRES.html , SCoRES.pdf |
| Vignettes: |
Functional_Data_Example (source, R code) Geographic_Data_Example (source, R code) Linear_Model_Example (source, R code) Methods (source) SCoRES: a vignette (source, R code) |
| Package source: | SCoRES_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): SCoRES_0.1.2.tgz, r-oldrel (x86_64): SCoRES_0.1.2.tgz |
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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.
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