surveycore 0.8.4

New features

• get_effective_n() computes the effective sample size of a survey design
  using the Kish (1965) weight approximation (method = "kish") or the full
  design effect for a specified variable (method = "deff"). Supports all
  design types and survey_collection.

CRAN preparation (0.8.3)

• Resubmission addressing CRAN feedback on the 0.8.2 submission. Four
  changes: (1) Added DOI references to the package Description
  (Lumley 2004 for variance estimation; Mannan 2025 for weighted
  polychoric/polyserial correlation). (2) Uncommented three
  as_survey() calls in the @examples blocks of anes_2024,
  gss_2024, and pew_npors_2025, so they now run during
  R CMD check. The ANES and GSS examples (and the corresponding
  prose @details sketches) also gained nest = TRUE, which is
  required by those designs and silences a previously-emitted
  warning. (3) Replaced the \section{Tidy-select} \preformatted{}
  code sketch in as_survey() with prose, and added two runnable
  demonstrations to the @examples block. (4) Replaced globalenv()
  with baseenv() as the formula environment in survey_glm() to
  comply with CRAN policy on .GlobalEnv modification.