Questions tagged [glm]
The glm tag has no usage guidance.
24
questions
2
votes
1answer
147 views
Can GLM( generalized linear method) handle the collinearity between the predictor variables in a regression-analysis?
I'm a beginner in Machine learning and I've studied that collinearity among the predictor variables of a model is a huge problem since it can lead to unpredictable model behaviour and a large error. ...
0
votes
0answers
27 views
Including spatial spillover for categorical data in R
I did a regression analysis with categorical data with a glm model approach, which worked fine. I have longitude and latitude coordinates for each observation and I ...
0
votes
0answers
12 views
Plot ROC curves in R conditional on a fixed-effect
I have a model of the form
mylogit <- glm(y~x+as.factor(year)+as.factor(city), data=d, family="binomial")
How can I plot the ROC curve (or get the ROC score) ...
0
votes
0answers
12 views
How to model a decimal response between 0 to 1 with a GLM in R
I am trying to model a response variable which is a proportion (so a response between 0 and 1, see picture for distribution).
Ideally I would like to model it without using the actual counts, so as a ...
0
votes
0answers
35 views
Generalised Estimating Equation (GEE) vs. Recurrent Neural Network (RNN)
Has anyone looked into or know what is the difference between a GEE model and an RNN model in terms of what these two models are doing? Apart from the differences in structure of these two models ...
1
vote
0answers
41 views
Problem in performing LOOCV
I am trying to run LOOCV on my regression model. I tried to run it in r and encountered the following warning message:
...
1
vote
1answer
26 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:
...
0
votes
0answers
16 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 ...
1
vote
0answers
47 views
4
votes
2answers
89 views
How to interpret two continous variables output using GAM?
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 and the output is cardiovascular admissions (...
1
vote
0answers
235 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
214 views
Select behavior dependant with other factors and its formalization
I'm studying occurence of Behavior11, Behavior12,Behavior2,...
1
vote
1answer
74 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
285 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
58 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
67 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
854 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
151 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
329 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:
...
2
votes
0answers
37 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
93 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
9k 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
128 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
11k 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 ...
