similar to: Zigurrat updated

Hi: I was wondering why Marsaglia's new ziggurat method for generating deviates from the standard normal distribution has not been implemented in the R base package. I know that it is available in SuppDists pacakage of Bob Wheeler, as "rziggurat". According my timing tests, it is about 6 to 7 times faster (on a Pentium 2.4 MHz) machine than the default Inversion method used in

AlgDesign is a new package for calculating algorithmic experimental designs. It will calculate both exact and approximate designs for a variety of criteria. It will handle very large designs. It will also block designs in a variety of ways, including split plotting. You should find it at least as capable as other software for this purpose. I'd normally submit this sort of thing to beta test,

AlgDesign is a new package for calculating algorithmic experimental designs. It will calculate both exact and approximate designs for a variety of criteria. It will handle very large designs. It will also block designs in a variety of ways, including split plotting. You should find it at least as capable as other software for this purpose. I'd normally submit this sort of thing to beta test,

R CMD check now balks at my inst directory. It contains a single folder "doc," but apparently any folder causes the problem. If inst is empty, the project checks OK. This was not a problem before 1.9. I've checked the documentation, but don't see a change. What am I missing. -- Bob Wheeler --- http://www.bobwheeler.com/ ECHIP, Inc. --- Randomness comes in bunches.

I use a large real matrix, X, in C code that is passed from R and transposed in place in the C code. I would like to conserve memory and, if possible, allocate space for only one copy of X -- hence I would like to pass a pointer to the data in the X object to the C code. The Writing R Extensions manual says that neither .Call nor .External copy their arguments. They also say that these

R CMD check on a Windows system, halts with the following; installing inst files FIND: Parameter format not correct make[2]: *** [C:/AlgDesign/AlgDesign.Rcheck/AlgDesign/inst]Error 2 make[1] *** [all] Error 2 make: *** [pkg-AlgDesign] Error2 *** Installation of AlgDesign failed **** The inst directory contains the sub directory doc with a pdf and dvi file. Any sub directory in inst seems to

cor.test and SuppDists give me different P-values for the same Spearman's rho. Which is correct, or am I doing something wrong? > x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1) > y <- c( 2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8) > cor.test(x,y,method="spearman") Spearman's rank correlation rho data: x and y S = 48, p-value =

Thanks to all who response my problem. Here are my summary : 1. from Dirk Eddelbuettel <edd at debian.org> We could try a mixture of normals -- ie flip a coin (use a uniform with some cutoff c where 0 < c < 1 ) to choose between N(0, sigma_1) and N(0, sigma_2). 2. from Michaell Taylor <michaell.taylor at reis.com> We could use the gld library to specify the lambdas of

Thanks to all who response my problem. Here are my summary : 1. from Dirk Eddelbuettel <edd at debian.org> We could try a mixture of normals -- ie flip a coin (use a uniform with some cutoff c where 0 < c < 1 ) to choose between N(0, sigma_1) and N(0, sigma_2). 2. from Michaell Taylor <michaell.taylor at reis.com> We could use the gld library to specify the lambdas of

Hello I am searching ghyper package (generalized hypergeometric distributions). Does anyone can send it to me? Regards from Mexico Lizbeth Román [[alternative HTML version deleted]]

Hello, My name is Lisa and I'm a statistician at Princess Margare Hospital. I wonder if there is any function in R that calculate the Normal rankits based on Blom's approximation? Thank you very much Lisa Wang Msc. Princess Margaret hospital Toronto, Ca

Hello, Could somebody point me, is there any function in R which returns expected values of order statistics for normal distribution? I have been looking and couldn't find it. Thanks! Anna

Hello, I'm Carla, an italian student, I'm looking for a package to transform non normal data to normality. I tried to use Box Cox, but it's not ok. There is a package to use Johnson families' transormation? Can you give me any suggestions to find free software as R that use this trasform? Thank yuo very much Carla ____________________________________________________________ 6X

SuppDists is orphaned on CRAN (and has been since 2013). https://cran.r-project.org/web/checks/check_results_.html Oddly, the simulate method for the inverse.gaussian family [inverse.gaussian()$simulate] depends (in a loose sense) on SuppDists (it fails if the SuppDists namespace is not available: if (!requireNamespace("SuppDists", quietly = TRUE)) stop("need CRAN

Or, a crazy person (me) cld volunteer to keep this running and get it back on CRAN. I fixed the severe warning and also added C-side registration code. The pkg is monolithic but the C code is super straightforward (a is the R code). Unless someone can think of a reason not to, I can submit this to CRAN this week and get the source up on social coding sites. It looks like Jerome Braun did this

On 2019-09-25 3:26 a.m., Martin Maechler wrote: >>>>>> Ben Bolker >>>>>> on Tue, 24 Sep 2019 20:09:55 -0400 writes: > > > SuppDists is orphaned on CRAN (and has been since 2013). > > https://cran.r-project.org/web/checks/check_results_.html > > > Oddly, the simulate method for the inverse.gaussian family > >

>>>>> Ben Bolker >>>>> on Tue, 24 Sep 2019 20:09:55 -0400 writes: > SuppDists is orphaned on CRAN (and has been since 2013). > https://cran.r-project.org/web/checks/check_results_.html > Oddly, the simulate method for the inverse.gaussian family > [inverse.gaussian()$simulate] depends (in a loose sense) on SuppDists > (it

Ah, I spoke too soon. I started putting the demo code into a test suite and ran one check with valgrind and ? sure enough ? there's def more issues (a cpl functions) than the overt/easy ones (and, I went back to the check results page and, also sure enough, they're there, too). They look to be fairly straightforward to resolve but it's going to take a bit longer than "this

Hi there, Sorry if this is a rather loing post. I have a simple list of single feature data points from which I would like to generate a probability that an unseen point comes from the same distribution. To do this I am trying to estimate the probability density of the list of points and use this to generate a probability for the new unseen points. I have managed to use the R density function to

Hi Rowland and All, Can you answer 2 question below? 1. Does the host still able to share file to Windows, IOS and Android devices? 2. Does 74 kB of samba files is the typical file size be implemented in embedded device? On Mon, 30 Sep 2019 at 14:37, Hock Leong Ang <anghockleong501 at gmail.com> wrote: > Hi Rowland, > The above files are built with AD DC. > Without AD DC, the