query: Why do we use GLM?
positive_passages.docid: 51927
positive_passages.text: Why is Poisson regression used for count data?
negative_passages.docid: 122685
negative_passages.text: Modern OpenGL: VBO, GLM and Matrix Stacks
negative_passages.docid: 115023
negative_passages.text: If my data is overdispersed when binomial but not when Poisson does that alone mean I should use Poisson GLM?
negative_passages.docid: 39495
negative_passages.text: Does it make sense to use a date variable in a regression?
negative_passages.docid: 26820
negative_passages.text: Does it make sense to compute confidence intervals and to test hypotheses when data from whole population is available?
negative_passages.docid: 139695
negative_passages.text: GLM: verifying a choice of distribution and link function
negative_passages.docid: 80356
negative_passages.text: I need both quadratic and linear coefficients in a GLM with binary response. What's the best option?
negative_passages.docid: 113792
negative_passages.text: Why is the quasi-Poisson in GLM not treated as a special case of negative binomial?
negative_passages.docid: 78581
negative_passages.text: Variable importance from GLMNET
negative_passages.docid: 27838
negative_passages.text: Caret and coefficients (glmnet)
negative_passages.docid: 95315
negative_passages.text: Reference Request: Generalized Linear Models
negative_passages.docid: 128635
negative_passages.text: Specifying formula in R with glm without explicit declaration of each covariate
negative_passages.docid: 106743
negative_passages.text: Is there any difference between lm and glm for the gaussian family of glm?
negative_passages.docid: 156490
negative_passages.text: Residual standard error difference between optim and glm
negative_passages.docid: 136483
negative_passages.text: What to conclude from this lasso plot (glmnet)
negative_passages.docid: 103181
negative_passages.text: Input format for response in binomial glm in R
negative_passages.docid: 84328
negative_passages.text: Wald test in regression (OLS and GLMs): t- vs. z-distribution