hdrcde is a dataset for computational statistics, focusing on highest density regions and conditional density estimation. It was authored by Rob J. Hyndman and is hosted on the paperswithcode platform. The dataset's specific size, temporal coverage, and geographic scope are not detailed in the provided metadata.
Use Cases
- Compute highest density regions for one- and two-dimensional data based on the described functionality.
- Perform kernel estimation of univariate density functions conditional on a covariate.
- Conduct multimodal regression analysis as mentioned in the dataset description.
Strengths
- Authored by a recognized statistician, Rob J. Hyndman.
- Focuses on specific, advanced statistical methods like highest density regions and conditional density estimation.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Rob J. Hyndman