anesrake: Raking Implementation for American National Election Studies

Josh Pasek's R package provides a system for weighting survey data to match American National Election Studies specifications. The package includes methods for identifying discrepant variables, raking data, and assessing algorithmic effects. It allows automated re-raking if targets fall outside bounds and offers greater user specification than other available raking algorithms.

Use Cases

• Weighting survey data to match target population demographics based on the described raking algorithm.
• Identifying variables with significant discrepancies from target specifications as mentioned in the description.
• Assessing the impact of weighting adjustments on survey estimates using the package's evaluation methods.
• Automating the re-raking process when weighted variables exceed acceptable bounds, a feature highlighted in the description.

Strengths

• Implements a specialized raking algorithm for the American National Election Studies framework.
• Includes automated re-raking functionality when target bounds are exceeded.
• Offers greater user control over the weighting process compared to other algorithms, as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and data scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Josh Pasek [aut, cre]

Collection Method

Likely developed as an R package for statistical weighting of survey data.

Time Range

null

Freshness

Last updated date is unknown.

Geography

null