Displaying 3 results from an estimated 3 matches for "pseudor2".
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pseudo2
2013 Mar 05
1
Reading outdated .Rprofile file
...tor are:
.First<-function() {
source("/Users/simon/Documents/R/functions/trim.leading.R")
source("/Users/simon/Documents/R/functions/trim.trailing.R")
source("/Users/simon/Documents/R/functions/trim.R")
source("/Users/simon/Documents/R/functions/pseudor2.R")
source("/Users/simon/Documents/R/functions/dates.R")
source("/Users/simon/Documents/R/functions/andersen.R")
source("/Users/simon/Documents/R/functions/tabfun.R")
source("/Users/simon/Documents/R/functions/cox_snell.R")
source("...
2008 Sep 26
0
Cross Validation output
...thus I would like to
plot out spatially where the model is performing well and where it is
not. This would be somewhat akin to inspecting residuals in OLS. Is
there a way to output from cv.glm() the PEs for individual data points ?
3) My previous idea was to look at AIC, BIC, McFaddenR2 and PseudoR2 as
Goodness of Fit measures of each subset model. It appears that I can
modify the cost function of cv.glm() but I am not to confident in my
ability to write the correct cost function. Are there other valid
measures of GOF for my negative binomial model that I can substitute
into the cost fu...
2016 Apr 10
0
logistic regression with package 'mice'
Dear all, I request your help to solve a problem I've encountered in using
'mice' for multiple imputation.
I want to apply a logistic regression model.
I need to extract information on the fit of the model.
Is there any way to calculate a likelihood ratio or the McFadden-pseudoR2
from the results of the logistic model?
I mean, as it is possible to extract pooled averaging and odds ratio...
Thank you in advance,
Antonello
Here an example of logistic regression on imputed data:
library(mice)
imp <- mice(nhanes)
# logistic regression on the imputed data
fit <- glm...