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Predicting GLMs
After I split my data frame into a training and test set, I made 2 logit regression tables with the training set. Now I need to use those models to predict the outcome of the test set and use both mod...
Marie Sara
Votes: 0
Answers: 0
Abundance data and GLM
I struggle with running a GLM with abundance data (continuous, zero to 24) in R. I've tried various error structures (Poisson, Gamma) with appropriate links (log, inverse), but it seems to never work....
Chris A. Ora
Votes: 0
Answers: 0
What is model.cov_params() in statsmodels?
I am unable to understand what the [cov_params][1] from a fitted statsmodel represents. I thought it would be the covariance matrix of the data but that does not seem to be the case. It is not even sc...
figs_and_nuts
Votes: 0
Answers: 0
Feature selection for Negative binomial regression
I am trying to fit a negative binomial regression to count data, with 90 variables. Tried feature selection with GBM, LASSO and random forest. But when I fit the model using glm.nb from MASS, the coef...
SravyaK
Votes: 0
Answers: 0