search for: hosmer

Dear R - help, I am working on the Credit scorecard model. I am using the Logistic regression to arrive at the regression coefficients model. I want to use the Hosmer - Lemeshow test . In order to understand the use of R - language, I had referred the following URL       http://www.stat.sc.edu/~hitchcock/diseaseoutbreakRexample704.txt The related data 'diseaseoutbreak' is available at the following URL        http://www.stat.sc.edu/~hitchcock/disea...

I'm trying to do a Hosmer-Lemeshow 'goodness of fit' test on my logistic regression model. I found some code here: http://sas-and-r.blogspot.com/2010/09/example-87-hosmer-and-lemeshow-goodness.html The R code is above is a little complicated for me but I'm having trouble with my answer: Hosmer-Lemeshow: p=0....

I know that there are two method to apply the Hosmer and Lemeshow?s. One of them is calculated based on the fixed and pre-determined cut-off points of the estimated probability of success. One of them is calculated based on the percentiles of estimated probabilities. In the previous post,i find that the Hosmer and Lemeshow?s test how to use in R....

i want to know how to use the Hosmer?Lemeshow test? in R. Can anyone show me the program to me and tell me how to use it? -- View this message in context: http://www.nabble.com/HOW-to-use-the-Hosmer%E2%80%93Lemeshow-test%E2%80%8F-in-R-tp19675283p19675283.html Sent from the R help mailing list archive at Nabble.com.

I haven't find any helpful thread. How can i calculate BIC and Hosmer-Lemeshow statistic for a logistic regression model. I have used glm for logistic fit. -- View this message in context: http://www.nabble.com/BIC-and-Hosmer-Lemeshow-statistic-for-logistic-regression-tf3945943.html#a11193273 Sent from the R help mailing list archive at Nabble.com.

dear all, i made some analysis with logistic regression. do you know if there is already a function available for the hosmer-lemeshow fitness test? thank you very much for the help best wishes andi

Hi eveybody. I've seen posted before the same question, but no answer. Is there anybody who has implemented the Hosmer-Lemeshow test in R? TIA, Stefano -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the sub...

Hi to everybody. I use the following routine (i found it in the internet) to compute the Hosmer-Lemeshow test in the framework of logistic regression. hosmerlemeshow = function(obj, g=10) { # first, check to see if we fed in the right kind of object stopifnot(family(obj)$family=="binomial" && family(obj)$link=="logit") y = obj$model[[1]] # the double brac...

Hello R experts, Is the a function to preform a Hosmer Lemshaw goodness of fit? I am running R 2.8. Thanks, AlonBen-Ari Department of Anesthesiology and CCM Univ. Pittsburgh [[alternative HTML version deleted]]

the package of R which is related Hosmer?Lemeshow test? -- View this message in context: http://www.nabble.com/the-package-of-R-which-is-related-Hosmer-Lemeshow-test--tp19613179p19613179.html Sent from the R help mailing list archive at Nabble.com.

I am trying to test goodness of fit for my legalistic regression using several options as shown below.  Hosmer-Lemeshow test (whose function I borrowed from a previous post), Hosmer–le Cessie omnibus lack of fit test (also borrowed from a previous post), Pearson chi-square test, and deviance test.  All the tests, except the deviance tests, produced p-values well above 0.05.  Would anyone please teach me why...

Dear All, I am looking for function's code to implement the Hosmer-Lemeshow gof test for survival data. Could anyone share it? TIA Mario [[alternative HTML version deleted]]

Frank E Harrell Jr wrote: > Eric Rescorla <ekr at rtfm.com> wrote: > >> (2) I'd like to compute goodness-of-fit statistics for my fit >> (Hosmer-Lemeshow, Pearson, etc.). I didn't see a package that >> did this. Have I missed one? > > Hosmer-Lemeshow has low power and relies on arbitrary binning of > predicted probabilities. The Hosmer-Le Cessie omnibus test is unique > and has more power usually. To get it: > &gt...

...nting function was a little more work than I expected. I.e. I'm looking for something where you'd type odds.ratios(fit) and get: Coefficient Odds ratio 95% CI XXX 5.2 1.5 7.2 etc. (2) I'd like to compute goodness-of-fit statistics for my fit (Hosmer-Lemeshow, Pearson, etc.). I didn't see a package that did this. Have I missed one? Thanks, -Ekr -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info&quo...

I have a data set to be analyzed using to binary logistic regression. The data set is iin grouped form. My question is: how I can compute Hosmer-Lemeshow test and measures like sensitivity and specificity? Any suggestion will be greatly appreciated. Thank you Endy [[alternative HTML version deleted]]

Username: BenHosmer Title: Building an RPM from Scratch Placement: http://wiki.centos.org/PackageManagement/Rpm I went through the process of building and documenting how to build an RPM from scratch using node.js as an example. I'd like to contribute this guide back to the wiki please. -------------- next part...

Hello, Are there any packages/functions available for testing the assumptions underlying assumptions for a good GLM model? Like linktest in STATA and smilar. If not, could somebody please describe their work process when they check the validity of a logit/probit model? Regards, Jay

...If you have suggestions pertaining to other packages, or sample code that replicates some of the SAS outputs for logistic regression, I would be glad to hear of them. Some of the requirements are: - Stepwise variable selection for logistic regression - Choose base level for factor variables - The Hosmer-Lemeshow statistic - concordant and discordant - Tau C statistic Thank you for your suggestions. Regards, Harsh Singhal

...; way of doing say forward regression is that variables whose p value drops below a criterion (commonly 0.05) become candidates for being included in the model, and the one with the lowest p among these gets chosen, and the step is repeated until all p values not in the model are above 0.05, cf Hosmer and Lemeshow (1989) Applied Logistic Regression. The procedure does not require examination of the AIC. I am not well aquainted with R enough to understand the codes used in step(), so can somebody tell me how step() works? Thanks very much, Tim

I have a data with binary response variable, repcnd (pregnant or not) and one predictor continuous variable, svl (body size) as shown below. I did Hosmer-Lemeshow test as a goodness of fit (as suggested by a kind “R-helper” previously). To test whether the predictor (svl, or body size) has significant effect on predicting whether or not a female snake is pregnant, I used the differences between null deviance and residual deviance using a code as fol...