search for: logxact

...e. Andy > -----Original Message----- > From: rossini at blindglobe.net [mailto:rossini at blindglobe.net] > Sent: Sunday, August 17, 2003 9:50 PM > To: rhelp > Cc: pralay at cytel.com > Subject: [R] Any interest in commercial add-on libraries > based on Cytel's StatXact/LogXact? > > > > At JSM, I spent a bit of time with old friends at the Cytel > booth (makers of StatXact/LogXact). They were wondering > whether it was both feasible and of interest to create a > package of the StatXact compute engine for R (to be > commercially licensed, no...

At JSM, I spent a bit of time with old friends at the Cytel booth (makers of StatXact/LogXact). They were wondering whether it was both feasible and of interest to create a package of the StatXact compute engine for R (to be commercially licensed, not for free!), similar to what they've done for SAS. As far as I know, it's feasible, (this is not the first commercial external p...

Hello: Is there a function that will do exact logistic regressions along the line of LogXact? Thanks, ANDREW

Dear R folks, We completed a matched case-control study that was analyzed using conditional logistic regression. Because of the small sample size we need to calculate exact confidence intervals. The quick solution is to purchase LogExact by Cytel. However, we'd like to do this in R. Anyone have experience with this? Many thanks, Tomas ____________________________________ Tomas Aragon, MD,

Can someone clarify what I cannot make out from the documentation? The function 'clogit' in the 'survival' package is described as performing a "conditional logistic regression". Its return value is stated to be "an object of class clogit which is a wrapper for a coxph object." This suggests that its usefulness is confined to the sort of data which arise in

Dear members, here is my trouble: My data consists of counts of trapped insects in different attractive traps. I usually use GLMs with a poisson error distribution to find out the differences between my traitments (and to look at other factor effects). But for some dataset where one traitment contains only zeros, GLM with poisson family fail to find any difference between this particular traitment