Package: SCoRES 0.1.2

SCoRES: Simultaneous Confidence Region Excursion Sets

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>.

Authors:Zhuoran Yu [aut, cre], Armin Schwartzman [aut], Junting Ren [aut], Julia Wrobel [aut]

SCoRES_0.1.2.tar.gz
SCoRES_0.1.2.zip(r-4.7-any)SCoRES_0.1.2.zip(r-4.6-any)SCoRES_0.1.2.zip(r-4.5-any)
SCoRES_0.1.2.tgz(r-4.6-any)SCoRES_0.1.2.tgz(r-4.5-any)
SCoRES_0.1.2.tar.gz(r-4.7-any)SCoRES_0.1.2.tar.gz(r-4.6-any)
SCoRES_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SCoRES/json (API)

# Install 'SCoRES' in R:
install.packages('SCoRES', repos = c('https://angelayustat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/angelayustat/scores/issues

Pkgdown/docs site:https://angelayustat.github.io

Datasets:
  • climate_data - Historical and Future Summer Temperature Data in North America
  • ipad - IPad task and physiology
  • pupil - Trajectories of Pupil Response to Light after Cannabis Use

On CRAN:

Conda:

6.18 score 2 stars 18 scripts 242 downloads 12 exports 97 dependencies

Last updated from:7fec0b14b9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK229
source / vignettesOK315
linux-release-x86_64OK220
macos-release-arm64OK212
macos-oldrel-arm64OK202
windows-develOK174
windows-releaseOK170
windows-oldrelOK197
wasm-releaseOK154

Exports:cmaexpitmean_response_predictplot_csprepare_pupil_fpcaSCB_functional_outcomeSCB_gls_geospatialSCB_linear_outcomeSCB_logistic_outcomeSCB_regression_coefSCB_regression_outcomescb_to_cs

Dependencies:abindashbackportsbitopsbootcachemcheckmateclassclassIntcliclustercolorspacecpp11data.tableDBIdeSolvedigestdplyre1071farverfastmapfdafdsFNNforcatsFormulaformula.toolsgamm4genericsggplot2gluegrpreggtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitlubridatemagicmagrittrMASSMatrixmatrixStatsmclustmemoisemetRmgcvminqamulticoolmvtnormnlmenloptroperator.toolspatchworkpbspcaPPpillarpkgconfigplyrpracmaproxypurrrR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundreshaperlangRLRsims2S7scalessfstringistringrtibbletidyrtidyselecttimechangeunitsutf8vctrsviridisLitewithrwk

Functional_Data_Example
Overview | Correlation and Multiplicity Adjusted (CMA) Confidence Bands | SCB for Mean Outcome Function | SCB for Coefficient Function | Multiplier-t Bootstrap Confidence Bands | An Extended Example
Rendered fromFunctional_Data_Example.Rmdusingknitr::rmarkdown

Last update: 2025-11-12
Started: 2025-07-22

Geographic_Data_Example
Rendered fromGeographic_Data_Example.Rmdusingknitr::rmarkdown

Last update: 2025-11-12
Started: 2025-08-11

Linear_Model_Example
SCBs for Mean Outcome of Linear Model | SCBs for Mean Outcome of Logistic Model | SCBs for Coefficients of Linear/Logistic Model
Rendered fromLinear_Model_Example.Rmdusingknitr::rmarkdown

Last update: 2025-11-12
Started: 2025-07-22

Methods
Definition of Inverse Set and Introduction of the Estimation Method | Linear Function-on-Scalar Regression (FoSR) | Accounting for Error Correlation | Modeling residuals with FPCA and gam | Estimate the FPCA for GAMM FPCA model | Construction of Simultaneous Confidence Bands for Functional Regression Model | Correlation and Multiplicity Adjusted (CMA) Confidence Bands Based on Parameter Simulations | Multiplier-t Bootstrap Procedure for Constructing Confidence Bands | Construction of Simultaneous Confidence Bands for Linear/Logistic Regression Model | Construction of SCB for Spatial Generalized Least Squares Model
Rendered fromMethods.Rmdusingknitr::rmarkdown

Last update: 2025-11-04
Started: 2025-07-22

SCoRES: a vignette
Rendered fromSCoRES.Rmdusingknitr::rmarkdown

Last update: 2025-10-27
Started: 2025-07-28