similar to: new version of the package fitdistrplus

Dear useRs, We are pleased to announce you a new version of "fitdistrplus" on CRAN : https://cran.r-project.org/web/packages/fitdistrplus/index.html "fitdistrplus" is a package dedicated to help the fit of a parametric distribution to non-censored or censored data. The main new features in this release are few new topics in the FAQ vignette

Dear useRs, We are pleased to announce you a new version of "fitdistrplus" on CRAN : https://cran.r-project.org/web/packages/fitdistrplus/index.html "fitdistrplus" is a package dedicated to help the fit of a parametric distribution to non-censored or censored data. The main new features in this release are few new topics in the FAQ vignette

Dear Charles, Please, when you have questions about fitdistrplus, contact directly the authors of the package and not R-help. When fitting non ? standard ? distributions with fitdistrplus, you should define by yourself the density and the cumulative distribution functions, or load a package which define them. See FAQ for a general example :

Hi all, I'm currently working on the fitdistrplus package (that basically fit distributions). There is something I do not understand about the generic function summary. In the current version on CRAN, there is no NAMESPACE saying S3method(summary, fitdist) . However if we use summary on an object send by fitdist function it works fine... According to R-lang, we have " The most

Dear Sirs, The below listed code fits a gamma and a pareto distribution to a data set danishuni. However the distributions are not appropriate to fit both tails of the data set hence a mixed distribution is required which has ben defined as "mixgampar" as shown below. library(fitdistrplus) x<- danishuni$Loss fgam<- fitdist(x,"gamma",lower=0) fpar<-

Why not define your own functions based on d? e.g. myCumDist <- function(x) { integrate(d, lower=-Inf, upper=x)$value } myQuantile <- function(x) { uniroot(f=function(y) { h(y) - x }, interval=c(-5,5)) } # limits -5,5 should be replaced by your own which might require some fiddling e.g. d <- function(x) { exp(-x^2/2)/(sqrt(2*pi)) } # just an example for you to test with; use your own

Dear All, Apologies for not providing a reproducible example, but if I could, then I would be able to answer myself my question. Essentially, I am trying to fit a very complicated custom probability distribution to some data. Fitdistrplus does in principle everything which I need, but if require me to specify not only the density function d, but also the cumulative p and and inverse cumulative

Hello, I like to fit data against a negative binominal distribution x2<-c(rep(10,14),rep(9,8),rep(8,13),rep(7,11),rep(6,6),rep(5,18),rep(4,7),re p(3,21),rep(2,33),rep(1,55),rep(0,225)) f2<-fitdist(x2,"nbinom",method="mle") plot(f2) summary(f2) gofstat(f2) I receive the following result: Fitting of the distribution ' nbinom ' by maximum

Hi, I'm trying to compile the package biglm, but when I build it with R CMD build biglm, it failed : C:\LOCAL\c-dutang\code\R\biglm2>R CMD build biglm * checking for file 'biglm/DESCRIPTION' ... OK * preparing 'biglm': * checking DESCRIPTION meta-information ...C:/DOCUME~1/c-dutang/Local: Can't op n C:/DOCUME~1/c-dutang/Local: No such file or directory

Thanks for your email. I try to change the name in lowercase but it conflicts with a C implementation also named halton. So I rename the C function halton2() and sobol2() while the Fortran function are HALTON() and SOBOL() (I also try lower case in the Fortran code). Unfortunately, it does not help since I get init.c:97:25: error: use of undeclared identifier 'halton_'; did you mean

Have you tried using tools:::package_native_routine_registration_skeleton()? If you don't like its output, you can easily edit its results and still avoid most pitfalls. Cheers, Jari Oksanen ________________________________________ From: R-devel <r-devel-bounces at r-project.org> on behalf of Berend Hasselman <bhh at xs4all.nl> Sent: 10 May 2017 09:48 To: Christophe Dutang Cc:

Hello, I would like to know how to know if a classification tree is predictive or not ? Is it sufficient to analyse results of cross validation? Thanks for your help Laure Maton

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>>>>> Christophe Dutang >>>>> on Sat, 8 Apr 2023 14:21:53 +0200 writes: > Dear all, > Using rmultinom() in a stochastic model, I found this function returns an error message 'NA in probability' for an infinite probability. > Maybe, a more precise message will be helpful when debugging. >> rmultinom(1, 3:5, c(1/2, 1/3,

> On 9 May 2017, at 13:44, Christophe Dutang <dutangc at gmail.com> wrote: > > Dear list, > > I?m trying to register Fortran routines in randtoolbox (in srt/init.c file), see https://r-forge.r-project.org/scm/viewvc.php/pkg/randtoolbox/src/init.c?view=markup&root=rmetrics. > > Reading

Dear useRs, We are happy to announce a new version of the randtoolbox* package (version 1.09) on CRAN. The package is dedicated to Random Number Generation and in a less exhaustive way to RNG tests. The package is source-controlled at r-forge as part of the Rmetrics project http://r-forge.r-project.org/projects/rmetrics/ . We invite you to take a look at the NEWS section to know the

Dear useRs, We are happy to announce a new version of the randtoolbox* package (version 1.09) on CRAN. The package is dedicated to Random Number Generation and in a less exhaustive way to RNG tests. The package is source-controlled at r-forge as part of the Rmetrics project http://r-forge.r-project.org/projects/rmetrics/ . We invite you to take a look at the NEWS section to know the

On 08/04/2023 5:53 p.m., Martin Maechler wrote: >>>>>> Christophe Dutang >>>>>> on Sat, 8 Apr 2023 14:21:53 +0200 writes: > > > Dear all, > > > Using rmultinom() in a stochastic model, I found this function returns an error message 'NA in probability' for an infinite probability. > > > Maybe, a more

Hi all, I tried to a nice legend with small boxes filled with the colors used for the plots. But it does nor work, boxes are always filled with black. An example is here plot(1:4,1:4) lines(1:4,4:1, col="blue") legend("top",leg=c("a","b"),col=c("black","blue"), fill=TRUE) How could I specify the colors? the argument col.box is the