# Linked Questions

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### Find out pseudo R square value for a Logistic Regression analysis [closed]

My name is Tuhin. I came up with a couple of questions when I was doing an analysis in R. I did a logistic regression analysis in R and tried to check how good the model fits the data. But, I got ...
2answers
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### Measuring the performance of Logistic Regression

Being quite new to the field, it occurs to me that there are multiple and fundamentally different ways of assessing the quality of a logistic regression: One can evaluate it by looking at the ...
1answer
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### Measure of explained variance for Poisson GLM (log-link function)

I am looking for an appropriate measure of the "explained variance" of a Poisson GLM (using a log-link function). I have found a number of different resources (both on this site and elsewhere) that ...
1answer
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### Variation explained in ordinal logistic regression models

I have made these three ordinal logistic regression models: ...
3answers
7k views

### how to calculate R-squared in glm?

I came up with below for my glm analysis but I need to calculate R-squared to cite in the paper? anyone can help me with this please? summary(lrfit) Call: ...
1answer
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### Fewer variables have higher R-squared value in logistic regression

I am testing out 3 modeling approaches for malnutrition in children. Theoretically, distal determinants (education,poverty) operate through proximal determinants (water, sanitation) in determining ...
2answers
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### Goodness of fit in GLMs

I am searching for a good criterion to measure the "goodness of fit" in generalized linear models. To make clear: I am not searching for a criterion which gives me an answer to the question "does ...
1answer
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### Pseudo-$R^2$: what are the null models for linear and non-linear regressions?

I have data from an experiment. The independent variable is time, the dependent variable is mass loss of organic matter. Now I want to compare whether a linear or a non-linear model fits better. From ...
2answers
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### Which measure of model fit to report when performing likelihood based regression: AIC, BIC, Pseudo R-square?

I'd like to hear your opinions on the following: What parameters would you report when estimating different likelihood based regression? AIC, BIC, Pseudo $R^2$? What is the standard to report? It ...
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### Regression model for ordinal dependent variable and categorical independent variables

If I'm using R, which regression model should I use for my dataset? (I need to get the R-squared value.) I have 1 dependent variable and 6 independent variables as follows: 1 dependent variable: ...
2answers
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### Are the $1-SSe/SSt$ and $cor^2$ calculations of $R^2$ always equivalent?

I am trying to calculate the $R^2$ value for a production constrained spatial interaction model, using Fotheringham and O'Kelly (1989) as my guide. I get dramatically different values for R-Square, ...
0answers
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### Nagelkerke $R^2$ interpretation

I used logistic regression and found that my model fits well: ...
1answer
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### How to assess GLMM performance on a new data set?

I built a generalized linear mixed-effects model (GLMM) using glmer function from the lme4 package in ...
0answers
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### pseudo R-squared for model estimated with maximum likelihood

I want to compute a pseudo-$R^2$ for a model whose parameter estimation was based on maximum likelihood (function likfit(), package ...
1answer
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### Why is it futile to use the deviance as a goodness-of-fit measure for Bernoulli data?

In Ordinal Data Modelling by Johson & Albert, page 102-103: For Bernoulli observations [...] the asymptotic chi-squared distribution of the deviance statistic may not pertain. Indeed, for ...

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