Questions tagged [polr]
polr refers to a R function in package MASS for ordered logistic or probit regression.
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Interpreting ordinal regression output in R polr()
I ran an ordinal regression in R using polr(), and have checked the proportional odds assumptions with brant() from the brant package. I am very new to ordinal regression and I am a bit confused about ...
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Multicollinearity for ordered logistic regression
How is multicollinearity calcuated for an ordered logistic regression if R^2 is not determined for this type of regression?
Because the formula for vif says: 1/(1-R^2)
In R the looking up ...
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Can the s.e. be used to identify heteroskedasticity for an ordered logit regression?
The title of this post actually says what I want to ask about.
To detect heteroksedasticity for an ordered logit regression using the polr function in the MASS package in R can the standard error from ...
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Example of a three-way interaction plot in R
Is this an example of interaction plot?
However, in the bottom of the article it is wrtitten, that it's not a 3-way-interaction (link to article). How should I understooth it? If it's not a 3-way-...
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What can cause violation of the proportional odds assumption?
What can the reasons be that the assumption of proportional odds / assumption of parallel regression lines is not met?
By using MASS::polr in R, I tried to run ...
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Can the coefficients in ordered logit be interpreted or is it necessary to determine exp()? [duplicate]
When estimating an ordered logit using MASS::polr is it then possible or a good idea to interpret the coefficient from the summary output or is it necessary to determine the exp() and use the ...
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What is your recommendation for using ordered logit regression?
I'm estimated the effect of discrepancy of working hours on satisfaction of life, so I modeled an ordered logit regression using MASS:polr for my thesis. I created ...
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How to interpet the output from the poTest in R?
Can anyone help me to interpret and understand the results for the poTest? How can I conclude if the proportional odds (parallel regression) assumption holds or not?
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R polr's zeta equivalent in glm?
I am a grad student with little experience with R. I am wondering if there is an equivalent of polr's zeta in glm.
For a part of ...
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Different results from polr depending on whether categorical variable is encoded as string or number
Our aim is to find out whether the general self-efficacy (GSE), as measured by the "New General Self-efficacy Scale" (1-10), changes in participants after the completion of a specific task ...
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A couple of polr Issues for ordinal regression with ordinal independent variables
I am having trouble using polr for a ordinal regression because I also have ordinal independent variables. Looking online it looks like I should either convert them to categorical dummy variables or ...
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test proportional odds assumption of lagged variable in ordered logistic regression
I want to estimate transition probabilities between different disease states called "Remission", "Mild" and "moderate/severe".
I have an unbalanced panel of 250 patients ...
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Plot predict probabilities wiht ggplot2 and brms [closed]
I'm a PhD student in psycholinguistics and I'm having trouble in modeling some ordinal data. I have an ordinal response (completely disagree, disagree, neutral, agree, completely agree) and two ...
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Can someone explain what the Brant test in R does?
I’m using R to run proportional odds models through the polr function in the MASS package. I want to see if the proportional ...
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Ordinal logistic regression interpretation of polr summary in R [duplicate]
I am trying to interpret the coefficients for the polr model. Where each predictor has three levels, Dissatisfied, Neutral, and Satisfied. Dissatisfied is the baseline. The dependent variable has the ...
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Ordinal logistic regression (polr in R): DV wrong level order
I am (trying) to conduct an ordinal logistic regression for the first time using the polr function in r. I seem to be encountering a problem with the order of my levels of my DV.
My DV should have ...
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What is a good algorithm for measuring the relationship between numerical input variables and ordered categorial output?
I have a dataset with 50 numerical input variables and 1 output column. The output is categorical and ordered. I want to describe the relationship between the numerical variables and the categorial ...
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Random effects for ordinal logistic regression? [duplicate]
I am relatively new to R. I am currently using R studio to run an ordinal logistic regression for some research. Initially I just ran the ordinal logistic regression using R's polr function, I didn't ...
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Interpreting interaction odds ratios in ordinal regression
I have run an ordinal regression in R using polr from the MASS package. I'm trying to interpret an interaction. Both predictors are categorical. Here is an example:
Predicting success in the job ...
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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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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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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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