Questions tagged [glm]
The glm tag has no usage guidance.
15
questions
0
votes
0answers
9 views
Logistic Regression Perfect segregation issue
Is it possible that a combination of independent variables are showing a perfect segregation in a binary logistic regression. As I am getting the warning: glm.fit: fitted probabilities numerically 0 ...
1
vote
0answers
39 views
LASSO Regression using Panel Data
I have panel data for 3 countries, ranging over 3 years. The dataset is called CarProduction
...
2
votes
1answer
212 views
Select behavior dependant with other factors and its formalization
I'm studying occurence of Behavior11, Behavior12,Behavior2,...
1
vote
1answer
40 views
Combining outputs of ridge regression models?
I am facing an issue where I have 7 sets of different variables/columns/predictors.
I am trying to predict same target variable and I want to observe the importance/effect of all the sets according ...
1
vote
1answer
168 views
r glm - Error in names(coef) <- xnames only for 2 columns in data
I am getting the below error when i run the R code for glm():
...
3
votes
1answer
43 views
Alternative to VGAM for Zero Truncated Negativ Binomial GLM in R
Is there an alternative to the vgam Package to do a zero truncated negativ Binomial GLM in R?
1
vote
1answer
64 views
Changing reference class in imbalanced data drastically affects the error rate
Working on a binary classification problem that tries to predict customer churn, the data set is imbalanced with 2000 observations of non-churn cases vs 600 observations of churn cases.
On using GLM ...
2
votes
2answers
620 views
How do I compare coefficients from my glm when I have more than one factor variable in my formula?
I am trying to model a binary outcome in R that has many independent variables. 5 of the Ivs are factors with more than two levels. When I try to remove the intercept it only does it for one of the ...
2
votes
1answer
129 views
Searching interactions with RandomForest and/or GBM
I'm trying to explain a count variable and a continious variable > 0 with GLM, using R.
In order to improve the quality of the regression, I want to add some interactions that can be useful for the ...
-1
votes
1answer
328 views
R how to find the top key parameters contribute to the response var change in two tables?
For example, if I create two tables, both contain multiple kinds of data: numeric (integer), numeric (continuous), and factor (character) like below:
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2
votes
0answers
34 views
Outputting risk groups for a logistic regression model
I have a problem with outputting the terms for a logistic regression model in R. For a given list of independent values, say list l of terms {w,y,z} to determine dependent variable {x}, I want to ...
2
votes
0answers
78 views
How can I use idh and random when I use hupossion in mcmcglmm?
Here is my problem: I need to use hupossion in MCMCglmm package. Here is my prior:
...
2
votes
1answer
7k views
Extracting model equation and other data from 'glm' function in R
I've made a logistic regression to combine two independent variables in R, using pROC package and I obtain this:
...
3
votes
2answers
104 views
Extrapolating GLM coefficients for year a product was sold into future years?
I've fit a GLM (Poisson) to a data set where one of the variables is categorical for the year a customer bought a product from my company, ranging from 1999 to 2012. There's a linear trend of the ...
11
votes
4answers
9k views
Is GLM a statistical or machine learning model?
I thought that generalized linear model (GLM) would be considered a statistical model, but a friend told me that some papers classify it as a machine learning technique. Which one is true (or more ...
