similar to: about stableFit() and hypFit() of fBasics package

Can anyone explain such different output: > stableFit(s,alpha = 1.75, beta = 0, gamma = 1, delta = 0, + type = c("q", "mle"), doplot = TRUE, trace = FALSE, title = NULL, + description = NULL) Title: Stable Parameter Estimation Call: .qStableFit(x = x, doplot = doplot, title = title, description = description) Model: Student-t Distribution Estimated

hi, I have installed the fbasics package. And when I wrote "?stablefit", it says 'No documentation for 'stablefit' in specified packages and libraries'. When I tried "??stablefit", it showed that the stablefit is in fBasics::Distributionfit. However, I have installed the fbasics package. I don't know how to solve this problem. Could anyone help me? Thank

I'm using stableFit from the package fBasics to estimate the parameters of a truncated normal distribution (I'm interested in the parameters of the underlying normal distribution). It is correct to generalize this truncated normal distribution as a stable distribution ? Thanks David -- View this message in context:

Dear R People: There is a function from the fBasics library to get the probability and quantiles for the hyperbolic probability function. Is there one that will estimate parms of the hyperbolic probability function from a data set, please? Thanks in advance! Sincerely, Erin Hodgess mailto: hodgess at gator.uhd.edu R Version 2.0.1 windows

fBasics question: Get maximum dates Hello, This two series data set has been created with the timeSeries() function from fBasics >str(total) Formal class 'timeSeries' [package "fBasics"] with 7 slots ..@ Data : num [1:262, 1:2] 8703 8603 8573 8680 8668 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:262] "2004-04-19 01:00:00"

Hi, I am trying to calculate probability density of normal inverse gaussian distribution. I am using dnig function of fBasics package. However, I am getting following result. The density at x = 0.003042866 is: > dnig(x= 0.003042866, alpha=5.184868, beta= 0.11841, delta= 0.06038513, mu= -0.0003520626) [1] 6.550251 I am not sure why it is 6.550251. Can anyone tell me why density is more than

Hello, I've been trying to install the fBasics package on an openSuSe 11.3 64bit machine. It gives an error saying: WARNING: *R* *include* *directory* *is* *empty* -- *perhaps* *need* *to* *install* *R*-*devel*.*rpm* *or* similar Yet, R-devel is installed. Other packages work fine. I also tried different ways to install...install.packages() and R CMD INSTALL... The complete message is

Hello I do not know very much about statistics (and English language too :-( ), then I come in search of a clarification (explanation): I found two distinct results on KURTOSIS and I do not know which of them is the correct one. Any aid will be welcome! klebyn ################ CODE rnorm(1000) -> x library(moments) kurtosis(x) skewness(x) detach("package:moments")

Hi everyone, when I use the two sample Kolmogorov¨CSmirnov ks2Test like this: x=read.table("e:/x.txt") y=rstable(1000,alpha,beta,gamma,delta) I alway get results as follows: Warning messages: 1: In ks.test(x = x, y = y, alternative = "two.sided") : cannot compute correct p-values with ties 2: In ks.test(x = x, y = y, exact = TRUE, alternative = "two.sided")

I have a problem wirh R: After loding fBasics packages log funtion doesn't work like as fallow: Cenap ERDEMIR Hacettepe University Turkey > log(20) [1] 2.995732 > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fImport Loading required package: fSeries Loading required package: robustbase

When I try to load "fBasics" package, I get following error/warning : > library(fBasics) Loading required package: fImport Loading required package: fSeries Loading required package: fBasics Loading required package: fImport Loading required package: fSeries Loading required package: fBasics Loading required package: fImport Loading required package: fSeries Loading required package:

Dear R users, The function lmacfPlot( ) in fBasics, returns a list including the Hurst Exponent. I get sometimes a value for Hurst Exponent using lmacfPlot bigger than 1 which is theoretically incorrect. What could be reason ? From the related documents, I could not find how the Hurst Exponent in lmacfPlot is estimated. Could you please say how it is estimated here? Thank you so