10 questions linked to/from Logistic regression model does not converge
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### logistic regression simulation doesn't converge [duplicate]

I want to do a logistic regression simulation using R I use this code ...
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### Running a Logistic regression - overflow error [duplicate]

I am running a logit regression and the "field1" is an existing list of 1's and 0's (which I am converting into a numpy list before passing as a parameter to Logit). I am trying to come up with a ...
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### Why does logistic regression become unstable when classes are well-separated?

Why is it that logistic regression becomes unstable when classes are well-separated? What does well-separated classes mean? I would really appreciate if someone can explain with an example.
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### Logistic regression in R resulted in perfect separation (Hauck-Donner phenomenon). Now what?

I'm trying to predict a binary outcome using 50 continuous explanatory variables (the range of most of the variables is $-\infty$ to $\infty$). My data set has almost 24,000 rows. When I run ...
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### Is there any intuitive explanation of why logistic regression will not work for perfect separation case? And why adding regularization will fix it?

We have many good discussions about perfect separation in logistic regression. Such as, Logistic regression in R resulted in perfect separation (Hauck-Donner phenomenon). Now what? and Logistic ...
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I am trying to test whether there is a significant interaction between an ordinal (A) and categorical variable (B) in R using <...
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### Logistic regression algorithm in Ruby

I have been using R to calculate logistic regression with many independent variables for a Ruby on Rails web application. However, I can no longer import data from the database to R using RPostgreSQL. ...
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### Logistic Regression with Categorical Variables: 1: glm.fit: algorithm did not converge 2: glm.fit: fitted probabilities numerically 0 or 1 occurred

In my model, I have a Response variable, 0s or 1s. I have 15 categorical variables, some of which have 150+ levels. Should I potentially exclude them from my model? When I run ...