search for: sequantial

Hi, In my application I am JITing thousands of functions, though I am doing it sequantially and running only one at a time. So it is crucial to be able to properly clean up the memory from an old JITed function when JITing and running the new one. I am using Haskell binding of LLVM and my application works OK. However, memory usage increases and never decreases during the run time of m...

...uation where there may be many (very many) JITted functions over the history of an application (which may be running for many days) Thanks On Mar 20, 2009, at 7:34 AM, George Giorgidze wrote: > Hi, > > In my application I am JITing thousands of functions, though I am > doing it sequantially and running only one at a time. So it is > crucial to be able to properly clean up the memory from an old JITed > function when JITing and running the new one. > > I am using Haskell binding of LLVM and my application works OK. > However, memory usage increases and never decr...

...me and mediation regression models. I also use weights as the data are survey data. (As a footnote, I use the svyglm() function from the survey package in other analyses, but svyglm() models are not compatible with mediate().) The help file for plot.medsens() reports that "When rho is zero, sequantial ignorability holds, so the estimated value at that point will be equal to the estimate returned by the mediate. The confidence level is determined by the ?conf.level? value of the original mediate object." This is not the case with my data. The value of delta^1 or delta^0 when rho = 0 is not...

Greetings all. I'm starting analysis in R on a reasonably sized pre-existing dataset, of 583 variables and 1127 observations. This was an SPSS datafile, which I read in using the read.spss command using the foreign package, and the data was assigned to a data.frame when it was read in. The defaults in read.spss were used, except I set to.data.frame = TRUE. The data is a survey dataset (each