# Questions tagged [deviance]

Deviance is twice the difference between the maximum achievable log likelihood and that attained under the fitted model.

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### Difference between binary and count data of same data on logistic regression in R

I confuse that the difference of Residuals deviance between binary and count data of the same data, by logistic regression in R. I'd like to know the way to calculate the both Residual deviance. ...
29 views

### ANOVA-like analysis for geometric distribution

I have a dataset (>10,000 samples total) that strongly appears to be geometrically distributed. For this dataset I have a way of partitioning that makes sense theoretically and I would like to know if ...
32 views

### Interpreting Residual and Null Deviance in GLM (using R)

I am using a glm function for regression analysis. And I have one question about interpreting residual / null deviance in GLM. First, here is the result. ...
16 views

### Why does DEVIANCE decrease when I delete a variable? Multinomial regression

I am comparing several nested models in a multinomial regression (multinom package Rsoftware). As far as I know, when we add a variable to a model the fitting is improved and should be reflected in a ...
27 views

### Meaning of “deviance” when using glmnet and family = “binomial”

When using glmnet in R with family = "binomial" you can set type.measure = "class" or ...
20 views

### Variance decompostion for logistic regression using deviances?

I have data on the proportion of methylated cytosines in a gene from 13 plant genotypes from replicate experiments at four sites. Each genotype is replicated at each site, so and I would like to ...
13 views

### anova.gam, significant test and 0 deviance

I have fitted a series of GAMs of increasing complexity, and compared with anova.gam. I get a significant p value (based on Chisq test) for a pair of models, even though the difference in deviance ...
35 views

### Explain the estimated residual variance in a Gamma mixed model, using glmer()

I am applying a generalized mix model, where the response has a gamma distribution, as below: ...
16 views