Questions tagged [glm]
The glm tag has no usage guidance.
20
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12 views
Problem in performing LOOCV
I am trying to run LOOCV on my regression model. I tried to run it on my r studio and encountered
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1answer
17 views
Fitting glm without explicit declaration of each covariate
When I fit a linear model with many predictor variables, I can avoid writing all of them by using . as follows:
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0answers
11 views
goodness of fit metrics to compare neural network and GLM model for count data
I´m wodering if some of you have compared goodness of fit of a NN and a GLM model on count data and which metrics you used? In addition, the data I´m dealing with has a point mass at zero. Are there ...
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0answers
34 views
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1answer
30 views
How to interpret two continous variables output using GAM?
I am sort of new in R and learning day by day. I really need help with GAM. I have to find out whether association is linear or non-linear by using GAM. The predictor variable is temperature at lag0 ...
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11 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 ...
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0answers
149 views
LASSO Regression using Panel Data
I have panel data for 3 countries, ranging over 3 years. The dataset is called CarProduction
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2
votes
1answer
212 views
Select behavior dependant with other factors and its formalization
I'm studying occurence of Behavior11, Behavior12,Behavior2,...
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1answer
58 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
222 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():
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3
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1answer
50 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
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1answer
66 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
729 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
131 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
36 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
87 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:
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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:
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3
votes
2answers
106 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
10k 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 ...
