Displaying 20 results from an estimated 10000 matches similar to: "Stepwise regression"
2010 Aug 09
3
Logistic Regression in R (SAS -like output)
Hello useRs,
I have a problem at hand which I'd think is fairly common amongst
groups were R is being adopted for Analytics in place of SAS.
Users would like to obtain results for logistic regression in R that
they have become accustomed to in SAS.
Towards this end, I was able to propose the Design package in R which
contains many functions to extract the various metrics that SAS
reports.
2008 Sep 16
2
Hosmer- Lemeshow test
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
2007 Jun 19
2
BIC and Hosmer-Lemeshow statistic for logistic regression
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.
2010 Feb 17
1
Checking the assumptions for a proper GLM model
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
2011 Mar 01
1
Logistic Stepwise Criterion
Dear R-help members,
I'd like to run a binomial logistic stepwise regression with ten explanatory
variables and as many interaction terms as R can handle. I'll come up with
the right R command sooner or later, but my real question is whether and how
the criterion for the evaluation of the different models can be set to be
the probability of the residual deviance in the Chi-Square
2011 May 08
1
Hosmer-Lemeshow 'goodness of fit'
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=0.6163585
le Cessie and Houwelingen test (Design library): p=0.2843620
2010 Jul 09
1
Appropriate tests for logistic regression with a continuous predictor variable and Bernoulli response variable
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
2008 Sep 25
1
HOW to use the Hosmer–Lemeshow test? 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.
2011 Oct 04
2
About stepwise regression problem
First of all, I have GAMs
noxd<-gam(newNOX~pressure+maxtemp+s(avetemp,bs="cr")+s(mintemp,bs="cr")+s(RH,bs="cr")+s(solar,bs="cr")+s(windspeed,bs="cr")+s(transport,bs="cr"),family=gaussian
(link=log),groupD,methods=REML)
Then I type " summary(noxd)". and show
Family: gaussian
Link function: log
Formula:
newNO2 ~ pressure
2010 Apr 13
1
stepwise regression-fitting all possible models
Dear All,
I am new to R and I would like to do the following:
I want to fit a logistic model with 3 predictors and then perform a stepwise
regression to select the best possible model using either the AIC/BIC
criterion.
I have used the stepAIC function which works fine but using this method only
likely candidates are evaluated (i.e. not all the models are fitted). We
should have 2^3=8 possible
2007 Sep 27
1
SAS proc reg stepwise procedure in R
I try to reproduce the SAS proc reg stepwise model selection procedure in R, but the only function I found was "step" which select new variables based on AIC. The SAS procedure I use add a new variable to the model based on F statistics and a pre defined significant level. Then before any new variables are added variables in the model that not meet F statistics at the significant level
2005 Sep 13
1
logistic regression with nominal predictors
(Sorry for obvious mistakes, as I am quite a newby with no Statistics
background).
My question is going to be what is the gain of logistic regression over
odds ratios when none of the input variables is continuous.
My experiment:
Outcome: ordinal scale, ``quality'' (QUA=1,2,3)
Predictors: ``segment'' (SEG) and ``stress'' (STR). SEG is
nominal scale with 24
2008 May 09
2
Stepwise regression
I am using stepAIC for stepwise regression modeling.
Is there a way to change the entry and exit alpha levels for the
stepwise regression using stepAIC ?
Many thanks,
Berthold
Berthold Stegemann
Bakken Research Center
Maastricht
The Netherlands
[[alternative HTML version deleted]]
2003 Jul 17
1
Hosmer- Lemeshow test
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
2002 Nov 22
2
hosmer-lemeshow
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
2008 Nov 07
1
two kind of Hosmer and Lemeshow’s test
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.
hosmerlem <-
function (y, yhat, g = 10)
{
2013 Apr 23
1
Hosmer Lemeshow test
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 bracket
2012 Nov 19
9
Stepwise analysis with fixed variables
Hello,
How can I run a backward stepwise regression with part of the variables
fixed, while the others participate in the backward stepwise analysis?
Thank you, Einat
--
View this message in context: http://r.789695.n4.nabble.com/Stepwise-analysis-with-fixed-variables-tp4650015.html
Sent from the R help mailing list archive at Nabble.com.
2010 Sep 02
1
Is there any package or function perform stepwise variable selection under GEE method?
Hi ,
I use library(gee),library(geepack),library(yags) perform GEE data analysis
, but all of them cannot do variable selection!
Both step and stepAIC can do variable selection based on AIC criterion under
linear regression and glm,
but they cannot work when model is based on GEE.
I want to ask whether any variable selection function or package under GEE
model avaliable now?
Thanks!
Best,
2005 Feb 24
2
Forward Stepwise regression based on partial F test
I am hoping to get some advise on the following:
I am looking for an automatic variable selection procedure to reduce the
number of potential predictor variables (~ 50) in a multiple regression
model.
I would be interested to use the forward stepwise regression using the
partial F test.
I have looked into possible R-functions but could not find this
particular approach.
There is a function