search for: likelihod

Displaying 5 results from an estimated 5 matches for "likelihod".

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2008 Aug 06
1
Weibull Likelihod function.
Is there a likelihod function for the Weibull distribution in 'R'? I found the following reference: http://www.weibull.com/LifeDataWeb/weibull_log_likelihood_functions_and_their_partials.htm But I had a hard time understanding the parameters required Particularly 'number of groups of times-to-failure data...
2006 Jun 15
1
Question concerning mle
Hi I hope this is the right forum - if not, point me please to a better one. I am using R 2.3.0 on Linux, SuSE 10. I have a question concerning mle (method="BFGS"). I have a few models which I am fitting to existing data points. I realised, that the likelihood is quite sensitive to the start values for one parameter. I am wondering: what is the best approach to identify the right
2001 Dec 13
1
Error when library() called with no arguments (PR#1215)
Full_Name: Roger peng Version: 1.4.0 (2001-12-13) OS: GNU/Linux (Redhat 7.1) Submission from: (NULL) (128.97.86.126) R compiles fine and runs, but when I call the library() function with no arguments I get the error: > library() Error in FUN(X[[2]], ...) : subscript out of bounds make check also fails when running code in base-Ex.R (I'm assuming it fails where library() function is
2005 Feb 03
1
If this is should be posted elsewhere, please advise
Hi, I am puzzled by the relationship between the p-values asociated with the coefficients of a univariate logistic regression involving categorical variables and the p-value I get from Fisher's exact test of the associated 2 x 2 contingency table. (1) The 2-sided p-value for the table is ~ 0.0015, whereas the p-value for the independent is 0.101 and the p-value for the intercept is
2007 Jan 06
2
negative binomial family glm R and STATA
Dear Lister, I am facing a strange problem fitting a GLM of the negative binomial family. Actually, I tried to estimate theta (the scale parameter) through glm.nb from MASS and could get convergence only relaxing the convergence tolerance to 1e-3. With warning messages: glm1<-glm.nb(nbcas~.,data=zonesdb4,control=glm.control(epsilon = 1e-3)) There were 25 warnings (use warnings() to see