cubremot: A tool for building model-based trees for ordinal responses
作者：
Highlights：
• Novel technique for growing model-based trees for ordinal responses proposed.
• Mixture models estimated at nodes accounting for uncertainty in ordinal scores.
• Splitting criteria featuring both inferential and fitting issues introduced.
• Effective graphical visualization of the results and flexibility.
• Application to survey data and benchmark study to assess the proposal.
摘要
•Novel technique for growing model-based trees for ordinal responses proposed.•Mixture models estimated at nodes accounting for uncertainty in ordinal scores.•Splitting criteria featuring both inferential and fitting issues introduced.•Effective graphical visualization of the results and flexibility.•Application to survey data and benchmark study to assess the proposal.
论文关键词：Model-based trees,Uncertainty,cub models,Trust in EU parliament,Benchmark study
论文评审过程：Received 17 October 2018, Revised 20 December 2018, Accepted 3 January 2019, Available online 16 January 2019, Version of Record 24 January 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.009
