Linked Questions

12
votes
0answers
6k views

Is the percent of total deviance explained a useful model summary? [duplicate]

My question is regarding the interpretation of the percent of deviance explained (and other $R^2$ anaologs or pseudo $R^2$ values for GLMs. Is this a meaningful summary statistic for models other ...
3
votes
0answers
692 views

calculating R square for a logistic regression [duplicate]

can anyone help me with how to calculate R-squared for a logistic regression- How do I use the deviance for this Purpose ? Additionaly, the question in matlab: I am calculating a psychometric ...
0
votes
1answer
446 views

Choosing between alternate pseudo R squared methods [duplicate]

My project uses logistic regression and I needed to calculate pseudo r squared to understand the explanatory power of each model. I have been using the formula below to calculate what I thought was ...
0
votes
0answers
401 views

Reporting Cox & Snell and Nagelkerke in logistical regression [duplicate]

As part of an assignment, I've been asked to report Cox & Snell and Nagelkerke values for my (logistical) regression analyses. I have been asked to interpret them as well as discuss what they ...
0
votes
1answer
163 views

Adjusted R Square For Binomial [duplicate]

mtcars=data.frame(mtcars) m=glm(vs~mpg+cyl+disp+hp+drat,family="binomial",data=mtcars) m=glm(vs~wt,family="binomial",data=mtcars) I seek to estimate pseudo-r-...
0
votes
0answers
16 views

About binary logistic regression [duplicate]

I have been told that Nagelkerke should not be used in a model of binary logistic regression, but instead a R2 as a measure of goodness of fit. So, how can I apply R2 if I am not using a linear ...
57
votes
5answers
101k views

How to calculate pseudo-$R^2$ from R's logistic regression?

Christopher Manning's writeup on logistic regression in R shows a logistic regression in R as follows: ...
77
votes
3answers
40k views

Diagnostics for logistic regression?

For linear regression, we can check the diagnostic plots (residuals plots, Normal QQ plots, etc) to check if the assumptions of linear regression are violated. For logistic regression, I am having ...
32
votes
3answers
83k views

How to calculate goodness of fit in glm (R)

I have the following result from running glm function. How can I interpret the following values: Null deviance Residual deviance AIC Do they have something to do with the goodness of fit? Can I ...
28
votes
4answers
63k views

Pseudo R squared formula for GLMs

I found a formula for pseudo $R^2$ in the book Extending the Linear Model with R, Julian J. Faraway (p. 59). $$1-\frac{\text{ResidualDeviance}}{\text{NullDeviance}}$$. Is this a common formula for ...
13
votes
4answers
51k views

Reporting results of a logistic regression

I have the following logistic regression output: ...
15
votes
4answers
21k views

Interpreting random effect variance in glmer

I'm revising a paper on pollination, where the data are binomially distributed (fruit matures or does not). So I used glmer with one random effect (individual plant)...
11
votes
3answers
10k views

Residuals for logistic regression and Cook's distance

Are there any particular assumptions regarding the errors for logistic regression such as the constant variance of the error terms and the normality of the residuals? Also typically when you have ...
7
votes
2answers
7k views

What is a “good fit” Brier score and Harrell's C Index

This is a question I originally posted on r-help but it is more suited here. I will post the question and the answer I received from Dr. Winsemius and would be most grateful for any additional answers ...
14
votes
1answer
6k views

R-squared in linear model verses deviance in generalized linear model?

Here's my context for this question: From what I can tell, we cannot run an ordinary least squares regression in R when using weighted data and the survey package. ...

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