search for: abscontdistributions

...uels I am trying to use the (very nice) package distrMod as I want to implement maximum likelihood (ML) fit of some univariate data for which I have derived a theoretical continuous density (pdf). As it is a parametric density, I guess that I should implement myself a new distribution of class AbscontDistributions (as stated in the pdf on "creating new distributions in distr"), and then use MLEstimator() from the distrMod package. Is that correct or is there a simpler way to go? Note that I want to use the distr package because it allows me to implement simply the convolution of my theoretical...

Hello, after some discussions with Martin Maechler and Josef Leydold (WU Wien), we have felt the need for some package that should allow for an object-orientated approach to distributions. Our small group at Bayreuth now has developed a package "distr" which tries to fill this gap, implementing distributions by means of S4--classes. A mother class "Distribution" is

------------------------------------------------------------------------------- New versions released for the distr family of package ------------------------------------------------------------------------------- We would like to announce the availability on CRAN (with possibly a minor delay until on every mirror) of new versions of our packages in the "distr"-family (version 2.1),

------------------------------------------------------------------------------- New versions released for the distr family of package ------------------------------------------------------------------------------- We would like to announce the availability on CRAN (with possibly a minor delay until on every mirror) of new versions of our packages in the "distr"-family (version 2.1),

Hello, May be somebody can help me... I am trying to find a solution of a convolution equation using fft (and unfortunately I do not have a good background for this). So I am just trying to figure out how it can be implemented in R. I have two multidimensional independent variables X and Z and I know their densities fx and fz, which are multidimensional arrays. So I have to find the density of

Hi, I guess that my problem has an obvious answer, but I have not been able to find it. Suppose I create a custom function, consisting of two beta-distributions: myfunction <- function(x) { dbeta(x,2,6) + dbeta(x,6,2) } How can I calculate the quantiles of myfunction? I have not seen any continous function treated in the docs, and applying the "quantile function" gives me an

We would like to announce the availability on CRAN of a new package distr . It is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution".

We would like to announce the availability on CRAN of a new version (1.5) of our package "distr" . ----------------------------------------------------------------------------------------- Changes from 1.4 to 1.5 -package is now using /lazy loading/ -minor changes in the help pages -minor enhancements in plot for distributions (Gamma, discrete distributions) -package now includes a

We would like to announce the availability on CRAN of a new package distr . It is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution".

We would like to announce the availability on CRAN of a new version (1.5) of our package "distr" . ----------------------------------------------------------------------------------------- Changes from 1.4 to 1.5 -package is now using /lazy loading/ -minor changes in the help pages -minor enhancements in plot for distributions (Gamma, discrete distributions) -package now includes a

We would like to announce the availability on CRAN of new versions of our packages "distr" (1.8), "distrEx" (0.4-4), "distrSim" (1.8), "distrTEst" (1.8), "startupmsg" (0.4) as well as a new package "distrDoc" (1.8) [all of them require R >= 2.2.0] -----------------------------------------------------------------------------------------

We would like to announce the availability on CRAN of new versions of our packages "distr" (1.8), "distrEx" (0.4-4), "distrSim" (1.8), "distrTEst" (1.8), "startupmsg" (0.4) as well as a new package "distrDoc" (1.8) [all of them require R >= 2.2.0] -----------------------------------------------------------------------------------------

We would like to announce the availability on CRAN of a new version (1.4) of our package "distr" . ----------------------------------------------------------------------------------------- Changes from 1.3 to 1.4 -To avoid name collisions with short forms for TRUE and FALSE: classes T and F (T- and F-distributions) renamed to Td and Fd -The package is now loaded as a binary =>

We would like to announce the availability on CRAN of a new version (1.4) of our package "distr" . ----------------------------------------------------------------------------------------- Changes from 1.3 to 1.4 -To avoid name collisions with short forms for TRUE and FALSE: classes T and F (T- and F-distributions) renamed to Td and Fd -The package is now loaded as a binary =>

We would like to announce the availability on CRAN (with possibly a minor delay until on every mirror) of new versions of our packages in the "distrXXX"-family (version 1.9), i.e.; "distr", "distrEx", "distrSim", "distrTEst", and "distrDoc" as well as of package for managing startup messages, "startupmsg" (0.5). [all of

We would like to announce the availability on CRAN (with possibly a minor delay until on every mirror) of new versions of our packages in the "distrXXX"-family (version 1.9), i.e.; "distr", "distrEx", "distrSim", "distrTEst", and "distrDoc" as well as of package for managing startup messages, "startupmsg" (0.5). [all of

We would like to announce the availability on CRAN of new versions of our packages "distr" (1.7), "distrEx" (0.4-3), "distrSim" (1.7), "distrTEst" (1.7), as well as a new package "startupmsg" [all of them require R >= 2.2.0] ----------------------------------------------------------------------------------------- ************ new package

We would like to announce the availability on CRAN of new versions of our packages "distr" (1.7), "distrEx" (0.4-3), "distrSim" (1.7), "distrTEst" (1.7), as well as a new package "startupmsg" [all of them require R >= 2.2.0] ----------------------------------------------------------------------------------------- ************ new package

Is there any R function that computes the convolution of the double exponential distribution? If not, is there a good way to integrate ((q+x)^n)*exp(-2x) over x from 0 to Inf for any value of q and for any positive integer n? I need to perform the integration within a function with q and n as arguments. The function integrate() is giving me this message: "evaluation of function gave a

> On 26 Aug 2017, at 16:39, niharika singhal <niharikasinghal1990 at gmail.com> wrote: > > Hi, > > Thanks for your mail, and time > > It is not working for some arguments, when mean value is like >6. > > > case > > mc0 <- c(0.08844446,0.1744455,0.1379778,0.1209769,0.1573065,0. > 1134463,0.2074027) > > rv