Simultaneous Confidence Region Excursion Sets
Multiplier Bootstrap for Simultaneous Confidence Band Threshold
Functional Outcome Regression Prediction with Group-Specific Inference
Multiplier Bootstrap
Plot Inversion of Simultaneous Confidence Bands (SCBs) into Inner and ...
Prepare Pupil FPCA Dataset
Validate and align types/levels between training data and prediction g...
Construct CMA Confidence Intervals via Parametric Method
Expit (Inverse Logit) Function
Fill missing variables in grid_df with reference values from df_fit
Test inclusion relationship between two logical vectors
Construct Simultaneous Confidence Bands (SCB) for Dense Functional Dat...
Construct Simultaneous Confidence Bands (SCB) For One Dimensional Func...
Construct Simultaneous Confidence Bands for a Spatial Generalized Leas...
Construct Simultaneous Confidence Bands for Linear Regression Outcome
Construct Simultaneous Confidence Bands for a Logistic Regression Outc...
Construct Simultaneous Confidence Bands for Regression Coefficients
Simultaneous Confidence Bands for Regression Outcomes or Coefficients
Construct Simultaneous Confidence Region for Excursion/Interval Sets f...
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>.