similar to: new package ppls

Dear R users, an update of the package ppls - Penalized Partial Least Squares - is now available on CRAN. It implements the methods described in N. Kr?mer, A.-L. Boulesteix, G. Tutz "Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data" Chem. Intell. Lab. Sys. 2008 http://dx.doi.org/10.1016/j.chemolab.2008.06.009 Features of the package

Dear R users, an update of the package ppls - Penalized Partial Least Squares - is now available on CRAN. It implements the methods described in N. Kr?mer, A.-L. Boulesteix, G. Tutz "Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data" Chem. Intell. Lab. Sys. 2008 http://dx.doi.org/10.1016/j.chemolab.2008.06.009 Features of the package

Dear R-users, we are happy to announce the release of our R package parcor. The package contains tools to estimate the matrix of partial correlations based on different regularized regression methods: Lasso, adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides cross-validation based model selection for Lasso, adaptive Lasso and Ridge Regression. More details can be found

Dear R-users, we are happy to announce the release of our R package parcor. The package contains tools to estimate the matrix of partial correlations based on different regularized regression methods: Lasso, adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides cross-validation based model selection for Lasso, adaptive Lasso and Ridge Regression. More details can be found

require(ppls) data(BOD) X<-BOD[,1] y<-BOD[,2] Xtest=seq(min(X),max(X),length=200) dummy<-X2s(X,Xtest,deg=3,nknot=20) Z<-dummy$Z Ztest<-dummy$Ztest size<-dummy$sizeZ P<-Penalty.matrix(size,order=2) lambda<-200 number.comp<-3 penalized.pls(Z,y,P=lambda*P,ncomp=number.comp)$coefficients # By default kernel=F

Hello! The Array Programming Languages Conference will be from 24th - 27th July 2000 Please look at: http://stat.cs.tu-berlin.de/APL-Berlin-2000/ Chairman's Address APL Berlin 2000 will take place in a city which is worth a visit even without array processing languages. There is a fortunate coincidence: Much activity in scientific and commercial institutions is based on such languages.

I wish to estimate sparse causal networks from simulated time series data. Although there's some discussion about this problem in the literature (at least a few authors have used lasso and l(1,2) regularization to enforce sparsity in multivariate autoregressive models, e.g., http://user.cs.tu-berlin.de/~nkraemer/papers/grplasso_causality.pdf), I can't find any R packages with these

Hi, ppls There is some problem with using passwd-like file and plaintext passwords within it. Let's assume we have users speaking russian. They think and remember their passwords also within russian words (they just not change keyboard layout before entering their passwords). So if the user has password like ":jgf" (meaning "ass" in russian) and passwords are stored

Hi!! This is my first time with llvm. I'm still learning and really need help. I wrote only one Function Pass, which uses another Function Pass (blockNrs), and registered this: RegisterPass<FunctionAnalysis> X("gasched", "Genom Scheduling Pass"); When I compile my sourcecode, everything was okay. But when I tried to test it, i got this error Message: nicole at

Hi!! This is my first time with llvm. I'm still learning and really need help. I wrote only one Function Pass, which uses another Function Pass (blockNrs), and registered this: RegisterPass<FunctionAnalysis> X("gasched", "Genom Scheduling Pass"); When I compile my sourcecode, everything was okay. But when I tried to test it, i got this error Message: nicole at

Gabe Bourque wrote: > Hello Anton Tinchev, > > I'm writing to you in hopes you can answer a few questions regarding > Asterisk/Digium and it's reliability. I saw your posting in the > Asterisk mailing list (Re: [Asterisk-Users] Is Asterisk ready for "real" > use?) and decided to write directly to you. The reason being that you > are one of only a few

I suspect the stopping behaviour is my mishandling of either OV_EBADLINK or OV_HOLE. What should I be doing if either of these values are returned by ov_read? Having experimented more Winamp has no trouble with the "jerky" songs. But the songs where my player stops prematurely pause for a second or two in Winamp. And with WMP they continue to play properly, but from the point where they

I''m looking to get parallels or vmware for my imac. Wondering what ppls opinions are. Besides web broswers I need to run some windows only stuff, and wondering about running MS Office Opinions? Thanx Daniel --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to

Hi I would like to eliminate a large number of lines of the dataframe df1 The lines to delete are given here by the values of Mat (ex : 2,4,7,10). but I have a large number (300) values of Mat dput(df1) structure(list(Mat = c(1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 10, 10, 10, 11,

To detect heteroscedasticity for a multiple linear OLS regression (no time dependencies): What if the residuals vs. fitted values plot shows well behaved residuals (cloud) - but the some of the x versus residuals plots are a megaphone? Also, it seems that textbooks and internet tutorials in R do not agree what is the best plot for detecting heteroscedasticity. What do you use? I found so

Hi!! It's me again. I guess that there is a problem in the Makefile of my source code. But I don't know where. Could you please verify it? The Makefile is written like this: # Makefile for Genetic Algorithm Pass CXXFLAGS = -Wall -I/iss/fpga3/nicole/galib247/ LDFLAGS= -L/iss/fpga3/nicole/galib247/ga/ -lga -Wl,-E # Path to top level of LLVM heirarchy LEVEL=../../../ # Name of the

Hello All, Ipsos is currently hiring a Data Scientist, if this position is of interest, please apply using the link below.?? If you have any questions, please do not hesitate to reach out to me directly. Data Scientist - Culver City, CA Summary: A capable and creative programmer with unrelenting attention to detail, an ability to work well with a small team (including both programmers and

Hello All, Ipsos is currently hiring a Data Scientist, if this position is of interest, please apply using the link below.?? If you have any questions, please do not hesitate to reach out to me directly. Senior Data Scientist - Culver City, CA Summary: A capable and creative leader who is experienced in designing, conducting and selling Data Science analytics.? Role includes sales and

I have what I hope is a simple question - is it possible to do time series analysis on a small data set specifically only four data points? I have collected human threat data (mean number of threats per kilometre walked/ survey) every 3 months in eight different sites (four with an experimental element and four control sites). I am trying to determine the best way to determine if there is a

Dear R users, we proudly announce the latest release of our R package plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares. Features include: * Degrees of Freedom estimates for Partial Least Squares (PLS) Regression * Model selection for PLS based on various information criteria and on cross-validation * approximate confidence intervals and significance tests for PLS