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@bschneidr bschneidr released this 11 Dec 19:18
v0.4.0
dff0be3

  • This release adds several functions for creating bootstrap and generalized bootstrap replicate weights. The new vignette "Bootstrap methods for surveys" provides guidance for choosing a bootstrap method and selecting the number of bootstrap replicates to use, along with statistical details and references.

    • Added function as_bootstrap_design() to convert a survey design
      object to a replicate design with replicate weights created
      using a bootstrap method. This is essentially a specialized version of
      as.svrepdesign() that supports additional bootstrap methods
      and has detailed documentation about which bootstrap methods can be used
      for different types of sampling designs.

    • Added function as_gen_boot_design() to convert a survey design
      object to a replicate design with replicate weights created
      using the generalized survey bootstrap. The user must supply the name of
      a target variance estimator (e.g., "Horvitz-Thompson" or "Ultimate Cluster")
      used to create the generalized bootstrap factors. See the new vignette for details.

    • Added functions to help choose the number of bootstrap replicates.
      The function estimate_boot_sim_cv() can be used to estimate the simulation error
      in a bootstrap estimate caused by using a finite number of bootstrap replicates.
      The new function estimate_boot_reps_for_target_cv() estimates the number of bootstrap
      replicates needed to reduce the simulation error to a target level.

    • Added function make_rwyb_bootstrap_weights(), which creates
      bootstrap replicate weights for a wide range of survey designs
      using the method of Rao-Wu-Yue-Beaumont (i.e., Beaumont's
      generalization of the Rao-Wu-Yue bootstrap method). This function
      can be used directly, or users can specify as_bootstrap_design(type = "Rao-Wu-Yue-Beaumont").

    • Added function make_gen_boot_factors() to create replicate adjustment factors
      using the generalized survey bootstrap. The key input to make_gen_boot_factors()
      is the matrix of the quadratic form used to represent a variance estimator.
      The new function make_quad_form_matrix() can be used to represent a chosen variance
      estimator as a quadratic form, given information about the sample design. This can be
      used for stratified multistage SRS designs (with or without replacement),
      systematic samples, and PPS samples, with or without replacement.

  • Minor Updates and Bug Fixes:

    • When using as_data_frame_with_weights(),
      ensure that the full-sample weight is named "FULL_SAMPLE_WGT"
      if the user does not specify something different.
    • For calibrate_to_estimate(), ensure that the output
      names the list of columns with perturbed control columns
      col_selection instead of perturbed_control_cols,
      so that the name matches the corresponding function argument,
      col_selection.
    • Improvements to documentation (formatting tweaks and typo fixes)
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