mcr: Regression Methods for Clinical Laboratory Method Comparison

The mcr package provides regression methods for quantifying the relationship between two measurement methods, as implemented by Sergej Potapov. It addresses regression problems with errors in both variables and without repeated measurements. The package implements algorithms for Theil-Sen and equivariant Passing-Bablok estimators, following CLSI recommendations for analytical method comparison.

Use Cases

• Bias estimation between analytical methods based on CLSI EP09 recommendations mentioned in the description
• Method comparison regression with errors in both variables as described in the package overview
• Implementing Theil-Sen and Passing-Bablok estimators for clinical data analysis as referenced in the provided citations

Strengths

• Implements established CLSI EP09 recommendations for method comparison
• Includes algorithms for Theil-Sen and equivariant Passing-Bablok estimators as referenced in peer-reviewed literature

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

paperswithcode platform

Collection Method

Software package implementing statistical methods for clinical laboratory analysis.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is unknown.