Brief overview of Nguyen (2009)'s method | We don't have to recompute the permutation distribution for each $\Delta$ | We don't have to try every possible $\Delta$ | Recovery times example | Wing lengths and antennae lengths example | Wing and antennae lengths with Monte Carlo

Defining streamlined functions | Speed tests | Tiny dataset | Larger dataset | Largest dataset | bench::mark() and profvis

Introduction to surveyCV | Setup | Linear and logistic regression with cv.svy, cv.svydesign, and cv.svyglm | Direct control with cv.svy | Using a survey design object with cv.svydesign | Using a survey GLM object with cv.svyglm | Fitting a logistic model instead of linear | Other models with folds.svy and folds.svydesign

Data preparation and a simple figure | Shaded columns plot | Individual, Goldstein-Healy adjusted, and Bonferroni-corrected CIs | Plotting differences from the reference state | Figures with LaTeX-style text and symbols | User-designed tables or plots

Generate the artificial population | Sims: Use of surveyCV folds with SRS, clustered, or stratified samples | Sims: Use of sampling weights (in training model-fits vs in test loss-estimates)

cv.svy() | cv.svydesign() | cv.svyglm() | Test for equivalence of the 3 functions at same random seed | Test of logistic regression | Tests that we expect should fail

Workflow to reproduce figures from the article

Workflow to reproduce figures from the article | Using tikzDevice::tikz() to save individual figures