| acs_pums_wy | ACS PUMS 2022 1-Year: Wyoming Persons |
| add_survey | Add Surveys to a 'survey_collection' |
| anes_2024 | ANES 2024: American National Election Studies Time Series |
| as_survey | Create a Taylor Series Linearization Survey Design |
| as_survey_collection | Create a Collection of Survey Designs |
| as_survey_nonprob | Create a Calibrated / Non-Probability Survey Design |
| as_survey_replicate | Create a Replicate Weights Survey Design |
| as_survey_twophase | Create a Two-Phase Survey Design |
| as_svydesign | Convert a surveycore Design Object to a survey Package Design |
| as_tbl_svy | Convert a surveycore Design Object to an srvyr tbl_svy |
| classify_question_type | Classify Variable Question Types |
| clean | Tidy a Survey GLM Fit |
| extract_metadata | Extract All Metadata for Variables |
| extract_missing_codes | Extract Missing Value Codes |
| extract_question_preface | Extract Question Prefaces |
| extract_sata | Extract SATA (Select-All-That-Apply) Flags |
| extract_universe | Extract Universe Descriptions |
| extract_val_labels | Extract Value Labels |
| extract_var_label | Extract Variable Labels |
| extract_var_note | Extract Analyst Notes |
| from_svydesign | Convert a survey Package Design to a surveycore Design Object |
| from_tbl_svy | Convert an srvyr tbl_svy to a surveycore Design Object |
| get_anova | Design-Based Analysis of Variance for Survey GLM Fits |
| get_corr | Survey-Weighted Correlation (Pearson, Polychoric, Polyserial) |
| get_covariance | Design-Based Population Covariance for a Survey Design |
| get_diffs | Treatment Effect Estimation for Survey Designs |
| get_freqs | Weighted Frequency Tables for Categorical Survey Variables |
| get_means | Weighted Mean for a Survey Design |
| get_pairwise | All-Pairs Pairwise T-Tests for Survey Designs |
| get_quantiles | Survey-Weighted Quantiles |
| get_ratios | Survey-Weighted Ratio Estimation |
| get_totals | Weighted Total for a Survey Design |
| get_t_test | Design-Based Two-Sample T-Test for Survey Designs |
| get_variance | Design-Based Population Variance for a Survey Design |
| gss_2024 | GSS 2024: General Social Survey |
| infer_question_prefaces | Infer Question Prefaces from Variable Labels |
| meta | Extract Metadata from a Survey Result |
| meta.survey_result | Extract Metadata from a Survey Result |
| nhanes_2017 | NHANES 2017-2018: Demographics and Blood Pressure |
| ns_wave1 | Nationscape Wave 1: July 18, 2019 |
| pew_jewish_2020 | Pew Jewish Americans 2020 |
| pew_npors_2025 | Pew NPORS 2025: National Public Opinion Reference Survey |
| remove_survey | Remove Surveys from a 'survey_collection' |
| set_collection_id | Set the Identifier Column on a 'survey_collection' |
| set_collection_if_missing_var | Set the Missing-Variable Behaviour on a 'survey_collection' |
| set_missing_codes | Set Missing Code(s) |
| set_question_preface | Set Question Preface(s) |
| set_sata | Set SATA (Select-All-That-Apply) Flag |
| set_universe | Set Universe Description(s) |
| set_val_labels | Set Value Labels |
| set_var_label | Set Variable Label(s) |
| set_var_note | Set Analyst Note(s) |
| survey_collection | Multi-Survey Container |
| survey_data | Access the Data Component of a Survey Design Object |
| survey_glm | Fit a Survey-Weighted Generalised Linear Model |
| survey_glm_fit | Survey-Weighted GLM Fit Object |
| survey_metadata | Survey Metadata Container |
| survey_replicate | Replicate Weights Survey Design |
| survey_taylor | Taylor Series Linearization Survey Design |
| survey_twophase | Two-Phase Survey Design |
| survey_weighting_history | Extract the Weighting History from a Survey Object |
| update_design | Update Design Variables on an Existing Survey Object |