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TODO
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TODO
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Possible additional developments in no particular order:
---------------------------------------------------------
[done?] options to handle quantiles in rounded continuous data like SUDAAN
does (if I can work out what it does).
- Score-based confidence intervals for glms
[mostly done] Rao-Scott-type tests for glms.
[done] AIC/BIC
- better choice of denominator df for tests
[done] More general HT estimator for sampling without replacement
- using joint inclusion probabilities
- using population first-order inclusion probabilities and Hartley-Rao approximation
- using Overton's approximation and sample inclusion probabilities
- using Berger's approximation and sample inclusion probabilities.
- GEE (you can do the independence working model just as another level of clustering).
- an interface to the Auckland semiparametric approach to two-phase designs.
- Parametric survival models (you can do these with svymle)
- linear mixed models?
- simpler case: multilevel model following sampling design
- nested model exactly matching design
- design is simpler than model
- interesting case: separate model and sampling designs.
- cluster sampling, so that higher-order sampling probabilities are available
- more general sampling.
[done] standard errors for survival curves, particularly in two-phase studies
- an interface to twophase and calibrate for IPTW estimation.
- Replicate weights for two-phase designs
[done] and for multistage designs with large sampling fraction (Fukuoka's BBE?)
[experimental] parallel processing for replicate weights, svyby(), svyrecvar()?
- Gini index and other summaries of concentration and inequality.
- Krista Giles' respondent-driven sampling estimators?
[done] database-backed designs for replicate weights.
- Multivariate statistics
[done] principal components
[experimental] factor analysis
[done in lavaan.survey package] SEMs?
########## things to fix ################
Use naresid() to get better missing-value handling in svyglm, panel.svysmooth, etc