anova_table             Extract Tables from a G-study Object
bootstrap_gstudy        Parametric Bootstrap Uncertainty for a Crossed
                        G-study
check_gstudy_design     Check Data Before Fitting a G-study
dstudy_grid             Compare a Grid of Candidate D-study Designs
dstudy_nested_ip        Design Study for a Nested Items-within-Person
                        Design
dstudy_pxi              Design Study for a Crossed Persons-by-Items
                        Design
dstudy_pxif             Design Study for a Crossed
                        Persons-by-Items-by-Facet Design
dstudy_pxir             D-study Wrappers for Common Three-Facet Designs
dstudy_sensitivity      Examine Gains from Increasing One Facet at a
                        Time
error_budget            Decompose D-study Error by Variance Component
gstudy_crossed          Generic Crossed G-study and D-study Helpers
gstudy_nested_ip        Estimate Variance Components for a Nested
                        Items-within-Person Design
gstudy_pxi              Estimate Variance Components for a Crossed
                        Persons-by-Items Design
gstudy_pxif             Estimate Variance Components for a Crossed
                        Persons-by-Items-by-Facet Design
gstudy_pxir             Convenience Wrappers for Common Three-Facet
                        Designs
gstudy_pxiro            Helpers for a Crossed
                        Persons-by-Items-by-Raters-by-Occasions Design
gtheoryr-package        gtheoryr: Simple Generalizability Theory for R
optimize_dstudy         Find the Least Cost Candidate Meeting a
                        Reliability Target
score_interval          Construct Approximate Measurement Intervals
                        Around Mean Scores
sem_gtheory             Report Relative and Absolute Standard Errors of
                        Measurement
simulate_gstudy         Simulate a Balanced Gaussian Crossed G-study
variance_proportions_table
                        Variance Component Proportions from a G-study
