similar to: Problem loading quantreg

Does any have installation instructions for this? When I run install.packages('quantreg') I get: gcc -std=gnu99 -shared -o quantreg.so akj.o boot.o brute.o chlfct.o cholesky.o combos.o crq.o crqfnb.o dsel05.o etime.o extract.o idmin.o iswap.o kuantile.o mcmb.o penalty.o powell.o rls.o rq0.o rq1.o rqbr.o rqfn.o rqfnb.o rqfnc.o sparskit2.o srqfn.o srqfnc.o srtpai.o -llapack -lblas

Hi All: I tried to download and install "quantreg" (a package for doing quantile regression) from CRAN. When I ran install.packages ("quantreg") within an R session, I got the following error message: <----Beginning of error message ---> * Installing *source* package 'quantreg' ... ** libs g77 -mieee-fp -fPIC -O2 -g -pipe -march=i386 -mcpu=i686 -c akj.f

Hi, I'm wondering if it is possible to install a package for R 2.0 on R 1.9.1 on Mac OS X? I'm getting this error which seems to be known issue: library("quantreg") Error in firstlib(which.lib.loc, package) : couldn't find function "lazyLoad" In addition: Warning message: package quantreg was built under R version 2.0.1 Error in

Dear group, Thank u so much 4 ur help. I've tried the link, http://finzi.psych.upenn.edu/R/library/quantreg/html/akj.html for adaptive kernel density estimation. But since I'm an R beginer and the topic of adaptive estimation is new for me, i still can't figure out some of the arguments of akj(x, z =, p =, h = -1, alpha = 0.5, kappa = 0.9, iker1 = 0) I've a vector of 1000 values

Dear R-devel: The Cluster administrators at KU got enthusiastic about testing R-3.2.2 with Intel MKL when I asked for some BLAS integration. Below I forward a performance report, which is encouraging, and thought you would like to know the numbers. Appears to my untrained eye there are some extraordinary speedups on Cholesky decomposition, determinants, and matrix inversion. They had

Dear R-help, Has anyone been able to use the quantreg package on Windows successfully? I tried to load it and get the following: > library(quantreg) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "C:/PROGRA~1/R/rw1031/library/quantreg/libs/quantreg.dll": LoadLibrary failure: The specified procedure could not be found. Error in

Hi All, I'm still having significantly difficulty getting the quantreg library running in R. I'm running R on MEPIS using the debs created by Dirk Eddelbuettel and placed in apt testing. When I try to install quantreg using the install.packages() function it fails with: /usr/bin/ld: cannot find -lblas-3 Dirk was nice enough to send me a .deb for quantreg which installs without

Hi all, I'm having some troubles with the Quantreg package. I am using R version 2.10.0, and have downloaded the most recent version of Quantreg (4.44) and SparseM (0.83 - required package). However, when I try to run an analysis (e.g. fit1<-rq(y~x, tau=0.5)) I get an error message saying that the function "rq" could not be found. I get the same message when I try to search

Hi All, I'm trying to install the quantreg library on my MEPIS box (debian-based linux). When I try >install.packages("quantreg") it fails to loads and errors with: /usr/bin/ld: cannot find -lblas-3. I tried installing a ton of packages to fix the missing part but the only thing I manage to do it cause problems with another shared library and had to re-install a couple of

Hi All, I'm trying to install the quantreg library on my MEPIS box (debian-based linux). When I try >install.packages("quantreg") it fails to loads and errors with: /usr/bin/ld: cannot find -lblas-3. I tried installing a ton of packages to fix the missing part but the only thing I manage to do it cause problems with another shared library and had to re-install a couple of

I can't install some packages (even some of the recommended packages), especially those that use f77, on an SGI. Here's what happens: fry: R CMD INSTALL quantreg_3.09.tar.gz * Installing *source* package 'quantreg' ... ** libs /tmp/R.INSTALL.2975859/quantreg/src f77 -OPT:IEEE_NaN_inf=ON -g -c akj.f -o akj.o ... and there it hangs. I tried using MAKE=/usr/bin/make and

Just noticed that I get a similar error about object 'kronecker' in "Matrix" package when trying to load "lme4". So this is a more pervasive problem. Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 ----- Forwarded by Brian S

I recently lost the partitions on my hard drive (second time in 6 months) so I had to have our IT folks image all my files over to a new drive. I completely reinstalled R (now 2.15.2) and all my libraries to my computer (Dell Latitude running Windows 7). A few of my previous workspaces (created with R 2.14.1) can't be restored, reporting an error similar to the one I get when I try to

Dear All, I'm trying to construct confidence interval for an additive quantile regression model. In the quantreg package, vignettes section: Additive Models for Conditional Quantiles http://cran.r-project.org/web/packages/quantreg/index.html It describes how to construct the intervals, it gives the covariance matrix for the full set of parameters, \theta is given by the sandwich formula

Rers: I installed R 2.9.0 from the Debian package manager on our amd64 system that currently has 6GB of RAM -- my first question is whether this installation is a true 64-bit installation (should R have access to > 4GB of RAM?) I suspect so, because I was running an rqss() (package quantreg, installed via install.packages() -- I noticed it required a compilation of the source) and

Dear all, I know that my question is somewhat special but I tried several times to solve the problems on my own but I am unfortunately not able to compute the following test statistic using the quantreg package. Well, here we go, I appreciate every little comment or help as I really do not know how to tell R what I want it to do^^ My situation is as follows: I have a data set containing a

Dear Sir /Madam I have a problem in installing quantreg package. I recieve this message “package ‘quantreg’ is not available (for R version 2.13.1). Thanks in adavance for the help. Regards, Ledile Mankga --------------------------------------------------------------------- Ledile Mankga Department of Botany & Plant Biotechnology University of Johannesburg P O Box 524, Auckland Park, 2006

Hi, I have used package quantreg to estimate a non-linear fit to the lowest part of my data points. It works great, by the way. But I'd like to extract the predicted values. The help for predict.qss1 indicates this: predict.qss1(object, newdata, ...) and states that newdata is a data frame describing the observations at which prediction is to be made. I used the same technique I used

Hello all, I would like to compute a quantile regression using rq (from the quantreg package), while keeping one of the coefficients fixed. Is it possible to set an offset for rq in quantreg? (I wasn't able to make it to work) Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili at gmail.com |? 972-52-7275845 Read me:

Hi Folks, I am currently trying to present some results I obtained by using the quantreg package developed by Roger Koenker. After calculating fit<-summary(rq(Y~X1+X2, tau=2:98/100) ) the function plot(fit) presents a really nice the results by showing the values for all "regressors" in the given interval tau. But in my case, I only need the output of a single variable, say X1 and I