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Questions - glm

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...
test-img

Marie Sara

r

regression

glm

mlogit

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....
test-img

Chris A. Ora

r

hyperlink

glm

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...
test-img

figs_and_nuts

statsmodels

covariance

glm

covariance-matrix

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...
test-img

SravyaK

r

glm

feature-selection

Votes: 0

Answers: 0

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