• Home
  • History
  • Annotate
Name Date Size #Lines LOC

..19-Jul-2021-

testoutput/H03-May-2022-1,8501,509

3stage2phase.RH A D28-Jul-20191.3 KiB3826

DBIcheck.RH A D28-Jul-20191.8 KiB5945

READMEH A D28-Jun-20212.1 KiB6239

api.RH A D28-Jul-2019116 75

badcal.RH A D28-Jul-2019412 106

badcal.Rout.saveH A D28-Jul-20191.2 KiB3929

bycovmat.RH A D28-Jul-20192.9 KiB7958

caleg.RH A D28-Jul-20194.2 KiB11976

check.RH A D28-Jul-20191.4 KiB4844

check.Rout.saveH A D28-Jul-20195.5 KiB161151

contrast-replicates.RH A D07-Apr-2020729 2314

coxph-termtest.RH A D28-Jun-2021497 1311

deff.RH A D28-Jul-20191 KiB3025

deff.Rout.saveH A D28-Jul-20192.2 KiB7565

defftest.RH A D14-Apr-2020632 2710

domain.RH A D28-Jul-20194.1 KiB11783

domain.Rout.saveH A D28-Jul-20196.8 KiB221199

fpc.RH A D28-Jul-201978 52

glm-scoping.RH A D28-Jul-2019723 2112

kalton.RH A D28-Jul-20191.4 KiB4924

kalton.Rout.saveH A D28-Jul-20193.3 KiB129119

logranktest.RH A D10-Aug-20203.7 KiB6430

lonely.psu.RH A D28-Jul-20192.2 KiB8267

lonely.psu.Rout.saveH A D28-Jul-20199.3 KiB266256

multistage.RH A D28-Jul-201983 72

na_action.RH A D28-Jun-2021295 96

newquantile.RH A D24-Jul-2020340 1610

nwts-cch.RH A D28-Jul-20191.1 KiB3216

nwts.RH A D28-Jul-20191.2 KiB4025

nwts.Rout.saveH A D28-Jul-20197.3 KiB205164

poisson.RH A D15-Jul-2021411 1411

pps.RH A D28-Jul-20191.8 KiB4731

quantile.RH A D28-Jul-20201.4 KiB4826

quantile.Rout.saveH A D28-Jul-20205.3 KiB223196

quantiles-chile.RH A D24-Jul-2020965 2217

rakecheck.RH A D28-Jul-20191.5 KiB5632

rakecheck.Rout.saveH A D28-Jul-20194.6 KiB133123

raowuboot.RH A D28-Jul-2019155 53

raowuboot.Rout.saveH A D28-Jul-2019964 3323

regpredict.RH A D28-Jul-20191.5 KiB4030

regpredict.Rout.saveH A D28-Jul-20192.5 KiB7464

scoping.RH A D28-Jul-2019578 3522

survcurve.RH A D28-Jul-2019754 3122

survcurve.Rout.saveH A D28-Jul-20192.6 KiB9787

svyby_se.RH A D11-Aug-2020278 106

svyivreg.RH A D29-Jul-2019358 117

toy_example_for_postStratify.RH A D20-Oct-20201.6 KiB4829

twophase.RH A D28-Jul-20195 KiB134106

twophase.Rout.saveH A D28-Jul-20198.7 KiB272258

README

13stage2phase.R: twophase designs with three-stage sample at phase 1
2
3api.R: Run example(api) to check that results haven't changed
4
5bycovmat.R: Check that svyby(,covmat=TRUE) is getting the ordering
6   of estimates correct.
7
8caleg.R: Calibration examples
9	 - calibration to information on PSUs rather than population
10	 - check that bounded weights really are bounded
11	 - check that linear calibration with error proportional to
12           x agrees with ratio estimators
13
14check.R:  Many combinations of options for svydesign
15
16deff.R:  Regression test on design effects, especially for totals
17
18DBIcheck.R: Check that we get the same results for SQLite-backed and
19         in-memory versions of the API data.
20
21domain.R: Check that domain estimators of means and their standard
22          errors agree with derivations as ratio and regression
23          estimators.  Repeat for calibrated and raked designs
24
25fpc.R: Many ways to specify fpc
26
27kalton.R: Calibration examples from Kalton & Flore-Cervantes,
28          J Off Stat, 19(2) 81-97
29
30lonely.psu.R: All the lonely PSU options
31
32multistage.R: Check that a two-stage cluster sample analysis agrees with
33              the hand-calcuated result in Sarndal et al.
34
35nwts.R:	Compare results from twophase() to published two-phase
36        case-control example
37
38nwts-cch.R: Compare results from twophase() to case-cohort analyses in
39        survival package.
40
41pps.R: Brewer's approximation for pps without replacement
42
43quantile.R: quantile estimation on a lognormal sample
44
45rakecheck.R: check that raking by iterative post-stratification agrees with
46 	     raking using calibrate()
47
48regpredict.R: ratio and regression estimation of a total.
49
50scoping.R: check that svyglm and svycoxph work inside functions.
51
52survcurve.R: check that svykm and predict.coxph give the same result
53           when a data set is doubled and the two replicates of each
54           observation are treated as a cluster.
55
56twophase.R: separately verifiable examples of twophase studies
57
58quantile-chile.R: example of interpolating for quantiles, from Chilean
59	stats agency
60
61na_action.R: check that svyglm works with na.action=na.exclude
62