3stage2phase.R: twophase designs with three-stage sample at phase 1 api.R: Run example(api) to check that results haven't changed bycovmat.R: Check that svyby(,covmat=TRUE) is getting the ordering of estimates correct. caleg.R: Calibration examples - calibration to information on PSUs rather than population - check that bounded weights really are bounded - check that linear calibration with error proportional to x agrees with ratio estimators check.R: Many combinations of options for svydesign deff.R: Regression test on design effects, especially for totals DBIcheck.R: Check that we get the same results for SQLite-backed and in-memory versions of the API data. domain.R: Check that domain estimators of means and their standard errors agree with derivations as ratio and regression estimators. Repeat for calibrated and raked designs fpc.R: Many ways to specify fpc kalton.R: Calibration examples from Kalton & Flore-Cervantes, J Off Stat, 19(2) 81-97 lonely.psu.R: All the lonely PSU options multistage.R: Check that a two-stage cluster sample analysis agrees with the hand-calcuated result in Sarndal et al. nwts.R: Compare results from twophase() to published two-phase case-control example nwts-cch.R: Compare results from twophase() to case-cohort analyses in survival package. pps.R: Brewer's approximation for pps without replacement quantile.R: quantile estimation on a lognormal sample rakecheck.R: check that raking by iterative post-stratification agrees with raking using calibrate() regpredict.R: ratio and regression estimation of a total. scoping.R: check that svyglm and svycoxph work inside functions. survcurve.R: check that svykm and predict.coxph give the same result when a data set is doubled and the two replicates of each observation are treated as a cluster. twophase.R: separately verifiable examples of twophase studies quantile-chile.R: example of interpolating for quantiles, from Chilean stats agency na_action.R: check that svyglm works with na.action=na.exclude
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