Harvard Dataverse hosts replication data for a statistical methodology paper. The repository contains code, Rdata files, and the corporate voting and birthweight datasets analyzed in the paper's sections 4.1 and 4.2. Author Jonathan Lin uploaded the materials, with a last update timestamp of 2026-05-01.
Use Cases
- Replicate statistical analyses of corporate voting patterns based on the data mentioned in the description.
- Benchmark new density regression algorithms against the provided birthweight data.
- Study the application of the weight-localized predictive recursion method to real-world datasets.
Strengths
- Includes full replication code and Rdata workspaces, facilitating reproducibility.
- Contains two distinct real-world datasets (corporate voting and birthweight) for method validation.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file size are unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Data appears to be collected or used for academic research replication.
- Time Range
- null
- Freshness
- Last updated 2026-05-01 20:55:36; freshness should be verified.
- Geography
- null