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Questions tagged [polr]

polr refers to a R function in package MASS for ordered logistic or probit regression.

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Missing one category while predicting with polr

I am trying to predict football outcome using an ordered logit model and I am using R. I used polr in R and everything works fine until the prediction part. the dependent variable is the result (home ...
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Interpreting odds ratios generated from polr model with both factors and ordinal predictors (Using R) - Note, reposted as user not guest)

I'm working with a large data set of students who have responded to a survey regarding physical activity levels and a number of other measures. I have several models I want to look at to consider the ...
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ordered logistic regression marginal probabilities hit ceiling

I'm running an ordered logistic regression with 3 classes, and I am able to predict the probability of each observation belonging to each class. For some reason one class' probabilities (top40) never ...
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Logistic regression model / decision trees to an ordered factor

A have a data frame with shops with a number of independent variables (all categorical), I'm trying to find a decent model to predict a dependent variable that is ordered and categorical (ie "small", "...
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Ordered probit model prediction: why highest probabilities and not number of thresholds exceeded?

I'm running ordered probit regression models with polr in R. This question states that for prediction, ...
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1answer
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Ordinal Logistic Regression with Polr: Compare multiple treatments

Let's say I have information about three stages of cancer (Stage 1, Stage 2, Stage 3) and three treatment groups. Now I'd like to compare if the odds ratio for all of these three groups are different. ...
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Interpreting results of multinomial model using polr

I am trying to correctly interpret and plot the effects of a multinomial model fit in R. The data and script are here for reproducing the problem. The multinomial variable describes different ...
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How to use ordinal logistic regression with random effects?

In my study I will be measuring workload with several metrics. With heart-rate variability (HRV), electrodermal activity (EDA) and with a subjective scale (IWS). After normalization the IWS has three ...
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Ordered Logistic Regression GWAS

I am attempting to do an ordered logistic regression in R on SNP matrixes (presence absence matrix 1 or 0) with three outcomes (1,2,3). I am having an issue of 0 p-values when low numbers (<5%) ...
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How should I determine degrees of freedom for t-test in ordinal regression?

I consider a proportional odds (ordinal regression) model, as described in Agresti (2002) and estimated by R base package ...
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Checking the proportional odds assumption holds in an ordinal logistic regression using polr function

I have used the ‘polr’ function in the MASS package to run an ordinal logistic regression for an ordinal categorical response variable with 15 continuous explanatory variables. I have used the code (...
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difficulties evaluating if a ordinal multnomial model fitted with polr (in Rstudio) can be used for predicting over new data

I'm getting very different output when i perform a multinomial ordinal model depending on wether I scale or not my data first. Anyone could tell me why? Here are the results with raw data: ...
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Is there an R package to check the proportional odds assumpion? [closed]

is there an R package/function to implement the parallel slope test given a clm (ordinal package) or polr (MASS) package?
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Understanding ordered logistic regression

I have the following toy data: ...