Effect Displays inRfor Multinomial and Proportional-Odds Logit Models: Extensions to theeffectsPackage 论文

2009Journal of Statistical Software引用 337顶会

Statistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesBayesian Modeling and Causal Inference

Statistical Methods and Bayesian Inference Bayesian Modeling and Causal Inference Advanced Causal Inference Techniques

作者

摘要

Based on recent work by Fox and Andersen (2006), this paper describes substantial extensions to the effects package for R to construct effect displays for multinomial and proportional-odds logit models. The package previously was limited to linear and generalized linear models. Effect displays are tabular and graphical representations of terms — typically high-order terms — in a statistical model. For polytomous logit models, effect displays depict fitted category probabilities under the model, and can include point-wise confidence envelopes for the effects. The construction of effect displays by functions in the effects package is essentially automatic. The package provides several kinds of displays for polytomous logit models.

作者查看全部 (2)

John Fox

Jangman Hong

Effect Displays in<i>R</i>for Multinomial and Proportional-Odds Logit Models: Extensions to the<b>effects</b>Package 论文

摘要

作者查看全部 (2)

相关技术查看全部 (3)

相关事件

相关文章