# Questions tagged [generalized-linear-model]

A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)

**0**

**1**answer

### sum of the x's and the sample mean issues

**0**

**0**answers

### cant seem to do random slope intercept model because I am missing values, any way around it?

**1**

**0**answers

### Partitioning data into train and test sets in generalized linear mixed models

**0**

**0**answers

### Logistic regression model for the probability of a don’t know response and a separate ordinal model for the ordered categories

**0**

**0**answers

### Matrix of variance-covariance in lme4 in case of random slope

**0**

**0**answers

### What is going on when deviation is significant but then not significant for outlier test using DHARMa?

**0**

**1**answer

### Trying to determine which distribution to use for my percentage data for mixed effects model

**1**

**1**answer

### Which is the best model for explaining spatial distance between points?

**0**

**0**answers

### What to do when you have significant autocorrelation in a glmmTMB logistic regression model (easily reproducible code provided)?

**0**

**1**answer

### Using a mixed linear model to evaluate responses in a RCBD experiment?

**1**

**1**answer

### Factor included based on AIC from anova, yet no significant comparisons using PostHoc

**0**

**0**answers

### How to test possible interactions in GLM

**0**

**0**answers

### Choosing an appropriate statistical model, must I use linear mixed model, or will a general linear model suffice?

**0**

**1**answer

### Marginal effect in logistic regression greater than 1

**1**

**1**answer

### Comparing generalized linear mixed models (varying the distribution & link function)

**0**

**0**answers

### GEEs for temporal autocorrelation and the ACF plot

**0**

**1**answer

### Using a generalized linear model vs generalized mixed effect linear model

**0**

**0**answers

### Why in SAS proc glm, the SE of a difference just simply takes on the larger SE of the two means in comparison?

**0**

**1**answer

### Predicting outcomes with categorical predictors

**0**

**1**answer

### Factors or dummy variables for a categorical binary response variable? Which approach is better for Machine Learning/Logistic regression in R?

**1**

**1**answer

### Interpreting probability from the inverse logit function

**0**

**1**answer

### Plotting multiple binary glm lines

**0**

**0**answers

### Which error families are allowed in generalized least squares models?

**0**

**0**answers

### Score Function and Observed Information Matrix for Gamma GLM

**0**

**0**answers

### Two intercepts for zero-truncated negative binomial model using VGAM

**0**

**0**answers

### R package for Bayesian generalized non-linear model

**0**

**0**answers

### Conducting t-test/multiple comparison in proc GLM vs calculating SE and estimates manually?

**1**

**0**answers

### What to do if I find residuals (=deviance) patterns after aplying a GAMMA GLM in R?

**0**

**0**answers

### Minimizing the expectation value of least-squares loss when data and model are randomly distributed with known normal distribution

**1**

**0**answers

### How do I check the assumptions of the Wald test for binomial GLM?

**1**

**0**answers

### Deviance Residuals in logistic regression [duplicate]

**2**

**0**answers

### Generalized regression with both additive and multiplicative errors

**1**

**0**answers

### Mixed effect zero inflated negative binomial model in R: use of Dharma package, glmmTMB and glmmAdaptive

**0**

**0**answers

### Error fitting random slopes with glmmPQL

**0**

**0**answers

### Why should link functions be differentiable?

**1**

**1**answer

### Complementary log-log regression

**2**

**1**answer

### Alternatives to three-way ANOVA with unbalanced and non-idependent data, non-normal distribution of the residuals and heterocedasticity

**0**

**1**answer

### Can I build a statistical model for a dependent variable based on other dependent variables?

**0**

**0**answers

### Gamma Generalized Linear Model (GLM) - Using IRLS algorithm

**1**

**1**answer

### Interpreting quadratic trend coefficients in a repeated measures logistic regression

**0**

**0**answers

### Correct interpretation of using add1 in forward model selection

**5**

**2**answers

### Differences between approaches to exponential regression

**0**

**0**answers

### Correct interpretation of forward stepwise model selection output

**1**

**0**answers

### Simulation from generalized linear model with specific signal to noise ratio

**0**

**0**answers

### How to connect distribution selection and model selection in generalized linear models [duplicate]

**0**

**0**answers

### How to correctly interpret results of logistics regression in R?

**8**

**1**answer

### Why does R refer to the distribution family as an “error distribution” in the context of generalized linear models?

**0**

**0**answers

### Count data that has two peaks. How would I model this?

**1**

**1**answer

### What is the general process of choosing, confirming, and supporting the distribution used in a generalized linear model?

**0**

**0**answers