Robustbase: Essential Robust Statistics Tools and Methods

Robustbase is a statistical toolkit for analyzing data with robust methods, developed by Martin Maechler. The description indicates it includes regression methodology, model selection, and multivariate statistics, aiming to cover concepts from the book 'Robust Statistics, Theory and Methods' (2006). The dataset's specific size, format, and update date are unknown.

Use Cases

• Perform robust regression analysis based on the regression methodology mentioned in the description
• Conduct model selection using robust criteria based on the model selection tools described
• Apply multivariate robust statistics based on the multivariate statistics coverage indicated

Strengths

• The toolkit is based on established theory from the 2006 book 'Robust Statistics, Theory and Methods'
• Description explicitly mentions coverage of regression, model selection, and multivariate statistics

Limitations

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

Provenance

Source

Martin Maechler

Collection Method

Toolkit for statistical analysis, likely a software package or collection of methods.

Time Range

Based on concepts from a 2006 reference book; specific data temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified

Geography

Spatial coverage is unknown.