ordinalClust: An R Package to Analyze Ordinal Data

InterVA4: An R package to analyze verbal autopsy data

Verbal autopsy (VA) is a widely used survey-based tool for inferring the cause of death (COD) in regions where deaths are not recorded routinely. InterVA4 is a popular algorithm for assigning CODs from VA data, but is currently only available to practitioners through a proprietary software program. The InterVA4 package provides an open-source, R implementation of the InterVA4 algorithm. The pac...

How to appropriately analyze ordinal scale data?

glmnetcr: An R Package for Ordinal Response Prediction in High-dimensional Data Settings

This paper describes an R package, glmnetcr, that provides a function for fitting a penalized continuation ratio model when interest lies in predicting an ordinal response. The function, glmnet.cr uses the coordinate descent fitting algorithm as implemented in glmnet and described by (Friedman, Hastie, and Tibshirani 2010). Methods for extracting all estimated coefficients, extracting non-zero ...

glmpathcr: An R Package for Ordinal Response Prediction in High-dimensional Data Settings

This paper describes an R package, glmpathcr, that provides a function for fitting a penalized continuation ratio model when interest lies in predicting an ordinal response. The function, glmpath.cr uses the coordinate descent fitting algorithm as implemented in glmpath and described by (Park and Hastie 2007a). Methods for extracting all estimated coefficients, extracting non-zero coefficient e...

ordinalgmifs: An R Package for Ordinal Regression in High-dimensional Data Settings

High-throughput genomic assays are performed using tissue samples with the goal of classifying the samples as normal < pre-malignant < malignant or by stage of cancer using a small set of molecular features. In such cases, molecular features monotonically associated with the ordinal response may be important to disease development; that is, an increase in the phenotypic level (stage of cancer) ...