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Hello I'm trying to use C random generator function drand48() which return floating-point values, uniformly distributed over [0,1], (http://www.opengroup.org/onlinepubs/007908799/xsh/drand48.html). When values are returned to R, they are not in [0,1]. A simple C program using drand48() gives values in [0,1] so I suppose there is a problem (type definition ?) between C and R. Here are R

Hi to all the people (again), I'm doing some simulations with the memisc package of an own function, but I've the problem that I didn't know how to read the result of such simulations. My function is: > Torre<-function(a1,N1,a2,N2) + {Etorre<-(a1*N1)/(1+a1*N1) + Efuera<-(a2*N2)/(1+a2*N2) + if(Etorre>Efuera)Subir=TRUE + if (Etorre<Efuera)Subir=FALSE +

Following up on this -- on my system, I have 69 packages installed that appear to provide something like a confint() method: h <- help.search("confint", agrep = FALSE) p <- sort(unique(h$matches$Package)) length(p) ## [1] 69 p [1] "bamlss" "bbmle" "binom" "brglm2" [5] "broom"

? Tue, 21 May 2024 08:00:11 +0000 Dario Strbenac via R-devel <r-devel at r-project.org> ?????: > Would a less resource-intensive value, such as 1, be a safer default > CPU value for confint? Which confint() method do you have in mind? There is at least four of them by default in R, and many additional classes could make use of stats:::confint.default by implementing vcov(). >