Package index
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sampling_design() - Create a Sampling Design
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stratify_by() - Define Stratification
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cluster_by() - Define Sampling Units (Clusters)
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draw() - Specify Selection Parameters
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add_stage() - Define a New Stage in Multi-Stage Designs
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execute() - Execute a Sampling Design
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validate_frame() - Validate a Frame Against a Design
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as_svydesign() - Convert a tbl_sample to a survey design object
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as_svrepdesign() - Convert a tbl_sample to a replicate-weight survey design
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as_survey_design(<tbl_sample>) - Convert a tbl_sample to a srvyr tbl_svy object
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as_survey_rep(<tbl_sample>) - Convert a tbl_sample to a srvyr replicate-weight tbl_svy object
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summary(<tbl_sample>) - Summarise a tbl_sample
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joint_expectation() - Compute pairwise joint expectations from a sample and its frame
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design_effect()effective_n() - Design Effect and Effective Sample Size
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serp() - Serpentine Sorting for Implicit Stratification
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is_sampling_design() - Test if object is a sampling_design
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is_tbl_sample() - Test if object is a tbl_sample
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get_design() - Get design from a sample
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get_stages_executed() - Get executed stages from a sample
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as.list(<sampling_design>) - Convert Sampling Design to List
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print(<sampling_design>)tbl_sum(<tbl_sample>) - Print Methods for samplyr Objects
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`[`(<tbl_sample>) - Subset a tbl_sample preserving class
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samplyr-datasets - Sampling Frames
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bfa_eas - Burkina Faso Enumeration Areas (LSMS-style)
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bfa_eas_variance - Stratum Variances for Burkina Faso EAs
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bfa_eas_cost - Stratum Costs for Burkina Faso EAs
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zwe_eas - Zimbabwe Enumeration Areas (DHS Two-Stage Cluster)
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zwe_households - Zimbabwe Households (Two-Phase Subframe)
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ken_enterprises - Kenya Enterprises (Enterprise Survey with Panels and PRN)