cvTools: Functions for Cross-Validation in Regression Models

cvTools is a software tool for implementing cross-validation in regression models. The tool is authored by Andreas Alfons and is designed to help developers write cross-validation functions with minimal programming effort. It also assists users with the process of model selection.

Use Cases

• Automating cross-validation workflows based on the tool's function-writing capabilities
• Comparing regression model performance based on the model selection assistance feature
• Implementing custom validation schemes for regression based on the described minimal programming effort

Strengths

• Tool is designed to minimize programming effort for cross-validation
• Explicitly supports model selection for regression analysis

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

paperswithcode