outcomerate 1.1.0

• Updated the outcome-rate formulas, documentation, and bibliography to the AAPOR Standard Definitions, 10th edition (2023).
• Added support for UR, the 10th edition’s new aggregate symbol for cases where it is unknown whether the sampled unit is eligible or the housing unit contains an eligible respondent (code 3.20). The underlying 3.20 disposition is not new: the 9th edition included it in UO. Existing UO inputs and results remain supported, while newly coded 3.20 cases should use UR.
• Aligned weighted-rate guidance with the 10th edition: individual zero weights are accepted for two-phase designs, while invalid and all-zero weight vectors are rejected. Already-aggregated inputs now reject weight instead of silently returning results labeled as weighted.
• outcomerate() now accepts category-specific eligibility estimates such as e = c(UH = 0.4, UR = 0.7, UO = 0.2). Existing scalar e inputs retain their original behavior.
• Aggregate disposition counts now reject duplicate names rather than silently discarding later values during canonical ordering.
• Minor updates to vignettes to reflect changes in the tidyverse.
• Updated legacy citation, documentation, and test attribute syntax for current R and CRAN checks.

outcomerate 1.0.1

Documentation

• Added CITATION details to the package
• Added documentation as pkgdown site

outcomerate 1.0.0

New Features

• eligibility_rate() function added to estimate the proportion of eligible cases from the unknowns, based on the known ineligibles (NE’s).

Improvements

• Refactoring of code based on ROpenSci peer review feedback.
• Added S3 method for factors.
• Addition of many more unit tests.
• Additional of more helpful error messages.

Breaking Changes

• weight argument no longer accepts scalar inputs.
• If weights are provided, the output labels are renamed in the form ‘RR2w’ instead of “RR2”
• If rate = NULL in the function parameters, the default behavior will be to return all possible rates given the other parameters specified.
• Disposition codes now accept “NE” for known ineligibles. Within outcomerate(), these are largely ignored, but are used by eligibility_rate() to estimate e

Documentation

• Added documentation for the (internal) fmat formula matrix object
• Added documentation on the middleearth toy dataset

outcomerate 0.0.0.9000

• Created outcomerate package