consider additional library-specific sections like convey and srvyr

[ajdamico]

https://cran.r-project.org/web/packages/rpms/index.html

https://cran.r-project.org/web/packages/lavaan.survey/index.html

http://cran.fhcrc.org/web/packages/surveyCV/index.html

maybe check the reverse dependencies of http://cran.fhcrc.org/web/packages/survey/index.html

[ajdamico]

more complete regression examples? linear, logistic, etc.?

[ajdamico]

explainer (like trend analysis) might work also

ridge regression: http://homepages.math.uic.edu/~minyang/research/park_yang.pdf
neural networks: https://www.surveypractice.org/article/2714-neural-networks-for-survey-researchers
lasso prediction: https://www.surveypractice.org/api/v1/articles/2716-using-lasso-to-model-interactions-and-nonlinearities-in-survey-data.pdf
more lasso: https://academic.oup.com/jssam/article-abstract/5/2/131/3775768?redirectedFrom=fulltext&login=false
svm: https://www.surveypractice.org/article/2715-using-support-vector-machines-for-survey-research

[ajdamico]

more detail about all available survey:: functions probably worth a review, for example how to compare medians with svyranktest

https://rdrr.io/rforge/survey/man/svyranktest.html

[ajdamico]

small area estimation
https://notstatschat.rbind.io/2024/03/09/small-area-estimates-by-smoothing-direct-estimates/
https://cran.r-project.org/web/packages/survey/vignettes/survey-sae.html