details_ordinal_reg_polr: Ordinal regression via polr

In parsnip: A Common API to Modeling and Analysis Functions

Ordinal regression via polr

Description

MASS::polr() fits a cumulative-link ordinal regression model.

Details

For this engine, there is a single mode: classification

Tuning Parameters

This model has no tuning parameters.

Translation from parsnip to the original package

The ordered extension package is required to fit this model.

library(ordered)

ordinal_reg() %>% 
  set_engine("polr") %>% 
  set_mode("classification") %>% 
  translate()

## Ordinal Regression Model Specification (classification)
## 
## Computational engine: polr 
## 
## Model fit template:
## MASS::polr(formula = missing_arg(), data = missing_arg(), weights = missing_arg())

References

• Bürkner P-C, Vuorre M. 2019. Ordinal Regression Models in Psychology: A Tutorial. Advances in Methods and Practices in Psychological Science 2(1):77-101. .

parsnip documentation built on May 14, 2026, 5:08 p.m.