similar to: smcp.shar (was linking object files)

Hi, I'm trying to work through the examples and code in Loader's LOCAL REGRESSION AND LIKELIHOOD, and have run into a problem with the code for one sided smoothing and change point analysis (p. 110-112). The code, after loading locfit: midp<-(1945:1988)+0.5 fitl<-locfit(thickness~left(year), data=penny, alpha=c(0,10), deg=1, ev=midp)

Dear friends. I would like to link an object file made in C. Dyn.load rather wants to link a whole library and I only wanted to link this small object file. I followed instructions given for S - by Clive Loader in his software for changepoint handling and it is his object file I made from http://cm.bell-labs.com/cm/ms/departments/sia/clive/smcp.shar Any dirty tricks or easy oversights ? Yours

Hello, Here is a problem I have had trying to install locfit, the package for R. I have already contacted Clive Loader who thinks the problem has more to do with R than locfit, so here is the point : The version of R I am currently running is R-base-0.90 that I installed using the R-base-0.90.1-1.i386.rpm package. I dowloaded the locfit package available at the CRAN site and ran : R INSTALL

Hi list, This was asked a couple of years ago but I can't find a resolution. Is there any way to get the coefficients from one of the local polynomial fits in locfit. I realize that locfit only constructs polynomials at a handful of intelligently selected points and uses interpolation to predict any other points. I would like to know the terms of the polynomials at these points. It seems

Hello!!! Thank you all for your suggestion on my last question about locfit. Now I have another question: I would like to change the evalution structure ev in locfit() to a vector/matrix. I created a vector and a matrix: > vec <- mat.or.vec(101, 1) > vec <- c(0:100) > mat <- matrix(data = vec, nrow = 101, ncol = 1) and I tried to change the ev parameter: > fit <-

Dear lists: I could not calculate what is wrong with my installing. Could you help me to find the solution? Thanks. Following are the installing screen massages: install.packages("demography") 将程序包安装入‘/home/zzk/R/i686-pc-linux-gnu-library/2.12’ (因为‘lib’没有被指定) --- 在此連線階段时请选用CRAN的鏡子 --- 载入Tcl/Tk接口... 完成 also installing the dependencies ‘akima’, ‘rgl’, ‘misc3d’, ‘quadprog’, ‘zoo’, ‘locfit’,

Dear R users, I have a question about the plot with the package gam. I need to plot different main effect functions, related to different gam models, in the same graphics (i.e. the same covariate about different models). I used the plot.gam e preplot.gam documentations. Using preplot.gam I can plot the single function but I'm not able to put all the functions together. Does anybody can help

Hi! Is there any Java Vorbis player that works on MIDP 2.0 platforms (mobile phones) ? I know the pure Java players, but I'm looking for a mobile version. Regards, David --------------------------------------------------------------------- http://noepatents.eu.org/ Innovation, not litigation ! --- David Balazic mailto:david.balazic@hermes.si HERMES Softlab

Sehr geehrte Damen und Herren, ich habe ein Interesse an eine Mitarbeit mit Ihrer Firma. Meine wichtigste Fachrichtung ist die Entwicklung von Individualsoftware und die Beratung im Hardware- und Softwarebereich. Ich besorge jegliche Entwicklung eines kompletten Programms in den Programmiersprachen JAVA, .NET, VB ... Ich kann reibungslos eine Internetapplikation in den Programmiersprachen

Hi, I am attempting to fit a ARMA/GARCH regression model without success. ### ARIMA-GARCH model with regressor ### ### Time series data: A multivariate data set. cov.ts.dq = cov.ts[1:4,"dq1"][!is.na(cov.ts[,"dq1"])] cov.ts.day = ts.intersect(dq = diff(q.ts), day = lag(q.ts, -1)) ### The following R scripts work: (summary(no.day.fitr <- garchFit(dq ~ arma(0,3) +

Hi all user R, My simple question is...I have a vector of names of predictors, text<-c("datem","cola","eslom")...I try to plot the model with this predictor in sequence loop...., for(i in 1:3){ png(paste("fig_",i,sep="")) plot(preplot.gam(mod9)[[i]],se=T,rug=F,main="",xaxt="n",ylab="",xlab="")

The locfit library is now available through CRAN, in the Contributed R Code directory. Locfit fits local regression, likelihood and density estimation models, in the spirit of loess but with many additional features. To install, unpack the locfit_19980309.tar.gz file, and R INSTALL locfit Most of the functionality and examples on my home page http://cm.bell-labs.com/stat/project/locfit/ should

The locfit library is now available through CRAN, in the Contributed R Code directory. Locfit fits local regression, likelihood and density estimation models, in the spirit of loess but with many additional features. To install, unpack the locfit_19980309.tar.gz file, and R INSTALL locfit Most of the functionality and examples on my home page http://cm.bell-labs.com/stat/project/locfit/ should

I've updated the locfit library, with R 0.99.0 compatability and other changes. The new version is propagating through CRAN, or available from my webpage, http://cm.bell-labs.com/stat/project/locfit. Also with regard to distribution accuracy, these might be of interest - http://cm.bell-labs.com/stat/clive/dbinom.ps (document) http://cm.bell-labs.com/stat/clive/dbinom.c (c source code).

Hi, I?m trying to combine the Locfit Package with the Mgcv package (to use Generalized Additive Models with Locfit components). I read the book written by Clive Loader where it?s said that, for the S language, you just have to "load" the locfit package using the command : Library(locfit, first="T") in order to use locfit components in an additive model. But I can?t. I guess

Hello all! I have recently started using the LOCFIT package, together with Clive Loader's book. I need to implement some method for automatic (plug-in) bandwidth selection in a multivariate kernel regression. From the book, and the LOCFIT documentation, it is not clear whether this is possible. As far as I can see, the only time the various automated procedures, e.g., SJPI, are used is in

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat) <- paste("Cond",rep(1:10,1)) dimnames(mat) <- list("Condition" = row.names(mat), "instrument" = colnames(mat)) > mat instrument

Hello, I am trying to use the JSpeex library for converting audio to speex format.I am trying to implement speex with an application meant to run on Blackberry device. Is there any available version of Speex for mobile devices, supporting MIDP 2.0 and CLDC 1.1. ? I would be glad to know any available version of speex for mobile phones. Thanking you, Tejaswini Agnihotri Java Developer Artificial

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat) <- paste("Cond",rep(1:10,1)) dimnames(mat) <- list("Condition" = row.names(mat), "instrument" = colnames(mat)) > mat instrument

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat) <- paste("Cond",rep(1:10,1)) dimnames(mat) <- list("Condition" = row.names(mat), "instrument" = colnames(mat)) > mat instrument