Added helper function as_data_frame_with_weights()
to convert a survey design object into a data frame with columns of
weights (full-sample weights and, if applicable, replicate weights).
This is useful for saving data and weights to a data file.
Added by argument to
summarize_rep_weights() which allows the specification of
one or more grouping variables to use for summaries
(e.g. by = c('stratum', 'response_status') can be used to
summarize by response status within each stratum).
Added a small vignette “Nonresponse Adjustments” to illustrate
how to conduct nonresponse adjustments using
redistribute_weights().
Minor Updates and Bug Fixes:
rho in calibrate_to_estimate().stack_replicate_designs() where designs
created with as.svrepdesign(..., type = 'mrbbootstrap') or
as.svrepdesign(..., type = 'subbootstrap') threw an
error.Added functions calibrate_to_estimate() and
calibrate_to_sample() for calibrating to estimated control
totals with methods that account for the sampling variance of the
control totals. For an overview of these functions, please see the new
vignette “Calibrating to Estimated Control Totals”.
The function calibrate_to_estimate() requires the
user to supply a vector of control totals and its variance-covariance
matrix. The function applies Fuller’s proposed adjustments to the
replicate weights, in which control totals are varied across replicates
by perturbing the control totals using a spectral decomposition of the
control totals’ variance-covariance matrix.
The function calibrate_to_sample() requires the user
to supply a replicate design for the primary survey of interest as well
as a replicate design for the control survey used to estimate control
totals for calibration. The function applies Opsomer & Erciulescu’s
method of varying the control totals across replicates of the primary
survey by matching each primary survey replicate to a replicate from the
control survey.
Added an example dataset, lou_vax_survey, which is a
simulated survey measuring Covid-19 vaccination status and a handful of
demographic variables, based on a simple random sample of 1,000
residents of Louisville, Kentucky with an approximately 50% response
rate.
lou_pums_microdata provides
person-level microdata from the American Community Survey (ACS)
2015-2019 public-use microdata sample (PUMS) data for Louisville, KY.
The dataset lou_pums_microdata includes replicate weights
to use for variance estimation and can be used to generate control
totals for lou_vax_survey.