Linked Questions

10
votes
0answers
4k 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
584 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
0answers
334 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
289 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
1answer
101 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 ...
49
votes
5answers
80k 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: ...
74
votes
3answers
33k 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 ...
28
votes
4answers
54k 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 ...
23
votes
3answers
61k 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 ...
13
votes
4answers
47k views

Reporting results of a logistic regression

I have the following logistic regression output: ...
10
votes
3answers
7k 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 ...
13
votes
4answers
16k 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)...
6
votes
2answers
6k 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 ...
6
votes
2answers
3k views

Find out pseudo R square value for a Logistic Regression analysis [closed]

My name is Tuhin. I came up with a couple of questions when I was doing an analysis in R. I did a logistic regression analysis in R and tried to check how good the model fits the data. But, I got ...

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