similar to: R-beta: Packages: KernSmooth logspline ppr rpart tree

Full_Name: Emmanuel Charpentier Version: 1.2.0 OS: Linux 2.2.18 (Debian 2.2) Submission from: (NULL) (193.251.31.31) When trying "mass" installation of available packages, the package logspline does not compile, at least when installed through install.packages("logspline"). It seems that it is a small bug, such a missing #include <math.h> or -libm linking switch ?

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Hi all, I am doing a projection pursuit regression using the ppr() function from modreg. I would also like to use predict.ppr(). However, I cannot find any information about it in the help files. There is a link to predict.ppr in the index for modreg, but that link is to the help for ppr(). Has predict.ppr() not been implemented? If not, does anyone have a suggestion as to how to implement

Dear all, I have been doing tests using SVM, random forests and PPR. The data is from a data stream (that is, the data for training and for test is always increasing / changing). With SVM and random forests everything is ok, but with ppr there are situations where it crashes. For the examples I have used I noticed that if one of the variables has just one value (it can happen), it crashes for

Hi, Recently, I installed the 1.1.0 version of R (for Windows), since it includes an implementation of Projection Pursuit (I failed to write my own version of PP as a standalone C++ program). As far as I know, R offers two interfaces/sintax for the ppr() function. The first one requieres a regression formula and a data frame. The other requieres X, a matrix with the explanatory variables, and Y,

Dear R listers -- I have several questions about using the ppr command in the modreg module. I discovered -- quite by accident -- that if I re-order the data, I obtain different results. The output below shows what I mean. I have two datasets (dataset1 and dataset2) that are identical (tested using proc compare in SAS) except for the fact that the records are in different order. Below I have

I used the supersmoother function in the modreg package as follows: super <- supsmu(ilogemp,award) Then I decided that I might want additional explanatory variables (other than ilogemp) in my model. The ppr function in modreg seemed a logical extension of supsmu from univariate to multidimensional explanatory variables. As a "check" I ran the following: pprest <-

The pursuit projection packages ppr is an excellent contribution to R. It is great for one-to-three ridge fits, often somewhat intuitive, and for multi-ridge fits, where it at least describes a lot of variance. Like many folk, I need to report the fits obtained from ppr to the greater, outside, non-R world. It is fairly obvious how to use the terms alpha and beta to report on

I just upgraded to R 2.7.2 (from 2.7.1) this morning (Ubuntu amd64 platform). Shortly afterwards, I ran into a problem loading the odesolve library, it could not find libRblas.so. I was able to fix this by rebuilding odesolve. Now, KernSmooth gives me the same problem... R> library(KernSmooth) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library

Dear R-devel, my Bioconductor EDASeq package has a function MDPlot that uses the smoothScatter() function from the graphics package. When I test this package on travis-ci.org (R CMD check) I get the following error (which I don't get on my machine nor on the Bioconductor build system). * checking examples ... ERROR Running examples in ?EDASeq-Ex.R? failed The error most likely occurred in:

Hi all, I'm not sure who to ask this, so I'm posting this here. I just ran: require(KernSmooth) And got (I bolded the text): Loading required package: KernSmooth KernSmooth 2.23 loaded *Copyright M. P. Wand 1997-2009* Warning message: package 'KernSmooth' was built under R version 2.12.1 What does that mean? Thanks, Tal ----------------Contact

According to the CRAN contributed packages page, the license for "KernSmooth" is *not* GPL. It is listed as "License: Unlimited distribution (from Dr Wand)." Are there any restrictions on this of any kind? Is there some written license document similar to the GPL license? The reason I'm asking is that the legal beagles in the company I work for are extremely paranoid about

Hello, I'm using R 1.40 on MacOS X X.1.2 (installed via the fink package manager). To upgrade my installed packages, I tried to use update.packages() today. All went well for most packages, with the exception of KernSmooth and cluster. In both cases, libraries were not found although I think they are present. Here's what happened: ---------------------------------- >

Versions of KernSmooth VR5.3pl037 boot gee rpart sm (delete src/Makefile: I'll get the version on CRAN changed) tree for R-0.64 are now on CRAN. Please note that spatial (in the VR bundle) and sm really do need 0.64 as we use the platform-independent file handling, and sm uses chull. This will be the last version of the VR5.x software for the second edition, as a new more `R

Versions of KernSmooth VR5.3pl037 boot gee rpart sm (delete src/Makefile: I'll get the version on CRAN changed) tree for R-0.64 are now on CRAN. Please note that spatial (in the VR bundle) and sm really do need 0.64 as we use the platform-independent file handling, and sm uses chull. This will be the last version of the VR5.x software for the second edition, as a new more `R

Full_Name: Hugh Miller Version: 2.8.1 OS: XP Submission from: (NULL) (128.250.24.101) Hi there, I've been looking at approaches that use the projection pursuit regression function fairly (ppr) heavily, and have discovered that it crashes my R system on occasion. It only happens with the inputs are pathological in some way I don't understand. I have pasted such an example below. Any

Hi, I have two separate questions relating to the KernSmooth package. I am using the dpik function from the KernSmooth package and receive the error Warning message: In kappam * Gcounts : longer object length is not a multiple of shorter object length I saw an earlier post , but the issue was using the bkde fxn and the person appeared to be using too small of a bandwidth.

Dear R users, I am looking for the source code of the implementation of ppr (Projection Pursuit Regression) in R. It will be great if citations of the source papers on which the implementation is based, are also provided. Thank you, Arvind Iyer, Grad student, Deptt. of Biomedical Engineering Viterbi School of Engineering University of Southern California, Los Angeles [[alternative HTML

Up to now I have got the base R and about half of the packages working on SuSe Linux 5.3 using gcc, g77 and xdevel. The other half, for example: pspline, logspline, KernSmooth, akima, tripack, ppr, principal.curve, cluster, funfit, repeated, event, etc., just won't install. Some of them give warnings at expressions in subroutines (repeated, event, pspline,etc.. I will ask about this in

Up to now I have got the base R and about half of the packages working on SuSe Linux 5.3 using gcc, g77 and xdevel. The other half, for example: pspline, logspline, KernSmooth, akima, tripack, ppr, principal.curve, cluster, funfit, repeated, event, etc., just won't install. Some of them give warnings at expressions in subroutines (repeated, event, pspline,etc.. I will ask about this in