similar to: SemiPar/spm question

I'm taking the residual-regression approach to semiparametric estimation (Robinson 1988, Econometrica), and basically using SemiPar simply as a convenient means of doing multivariate nonparamteric additive models. The final bit of code is here: finalfit <- spm(res~f(V3,basis="trunc.poly")+f(V5,basis="trunc.poly")+f(V6,basis="trunc.poly")) summary(finalfit)

Hi all, Does anyone know how to report heteroskedasticity and autocorrelation-consistent standard errors when using the "spm" command in SemiPar package? Suppose the original command is sp1<-spm(y~x1+x2+f(x3), random=~1,group=id) Any suggestion would be greatly appreciated. Thanks, Susan [[alternative HTML version deleted]]

Hi, When you use the default knot choice in spm() (library(SemiPar)) a figure showing the knot locations is sent to the screen and you have to accept the knots to move on. I am trying to run simulations using this function. Is there a way to get spm() to use the default "REML" knots without needing to approve each set of knots? Here is an example: library(SemiPar) data(scallop)

Suppose I have following dataset : > head(data1) Date Return 1 03/31/00 0.14230650 2 04/28/00 -0.03276228 3 05/31/00 -0.06527890 4 06/30/00 -0.04999873 5 07/31/00 -0.01447902 6 08/31/00 0.22265729 Now I convert it to zoo object : > data11 = zoo(data1[,2], as.Date(data1[,1], format="%m/%d/%y")) > head(data11) 2000-03-31 2000-04-28 2000-05-31

Hello, One of my users has a mailbox named 'INBOX.Kron & SPM' (maybe created a long time ago, when we use courier imap as pop/imap server, but I'm not sure). I can see the maildir with a doveadm list command: amateo_adm at myotis31:~$ sudo doveadm mailbox list -u <user> ... INBOX.Kron & SPM ... but I can't delete it, neithe rename it: amateo_adm at

Hi All, Just thought you might be interested in a recently released R package, spm: Spatial Predictive Modelling. It aims to introduce some novel, accurate, hybrid geostatistical and machine learning methods for spatial predictive modelling. Of 22 functions available in spm, two functions are for accuracy assessment. Perhaps they are not only useful tools for spatial predictive modelling

Dear R users, A new version (1.1.0) of the ?spm? package for spatial predictive modelling is now available on CRAN. The introductory vignette is available here: https://cran.rstudio.com/web/packages/spm/vignettes/spm.html There are several new enhancements to the package including a fast version of random forest in using ranger (rg) library(ranger) and the ability to convert relevant

Dear all, I am trying to plot on a spatial map the punctual measurements of the data located in the file (https://opengeo.metu.edu.tr/test.csv). I'd like to have the dots in some way proportional to the magnitudes of the measurements. I have difficulties with the code given below: The dot sizes do not vary not proportionally when varying the coefficient ("0.725"). It either plots

Hi, I'm running Centos 5.1 on an Intel Quad 2 Core with four Q6600 processors. Despite Centos 5 supporting multiple cores (SPM), it doesn't seem to work for me: 1) a dmesg shows that only one processor is seen: "SPM alternatives: switching to UP code", etc. 2) file /proc/cpuinfo shows only one processor 3) top with option 1 (to toggle between seeing all processors or an

Hi, I'm currently working on porting some SAS scripts to R, and hence need to do the same calculation (and get the same results) as SAS in order to make the transition easier for users of the script. In the script, I'm dealing with a two-factorial repeated-measures anova. I'll try to give you a short overview of the setup: - two between-cell factors: facBetweenROI (numbering

The code given below worked well. However, the problem is that when I typed dir1 to see the results I found that R order the files as: [1] "data1.flt" "data10.flt" "data100.flt" "data101.flt" [5] "data102.flt" "data103.flt" "data104.flt" "data105.flt" [9] "data106.flt" "data107.flt"

On 10 June 2017 at 21:04, biologi spm via llvm-dev <llvm-dev at lists.llvm.org> wrote: > clang.exe, clang++.exe, clang-cl.exe, clang-cl.exe and > msbuild-bin/cl.exe are each 37MB, but they serve almost the same > purpose, just receive different flavours of command flags. On Unix systems these are all symlinks and so essentially free. I hear Windows doesn't cope well with that

Dear R helpers, Last week Mr. Ista Zahn has taken lots of efforts and helped me with the following code generating basel_asset_wise (e.g. bank, corporate, sovereign) graphs. The code works excellently and assetwise grahs are aslo genereated. I have tried to customize the code as per my need. However, there is only one small problem with the graphs. The graph doesn't give me the asset names.

Hi everyone: I want to fit the truncated polynomial smoothing to the quantiles instead of means, does someone know how to do it? I am thinking that maybe I can use SemiPar package, but can not find how. Thanks so many, Suyan

Dear maintainers and R-devel, Several orphaned CRAN packages are about to be archived due to outstanding QC problems, but have CRAN and BioC packages depending on them which would be broken by the archival (and hence need archiving alongside). Therefore we are looking for new maintainers taking over maintainership for one or more of the following packages: R2HTML SemiPar cghseg hexbin lgtdl

Thank you for your answers and suggestions! Well, I want to do some experiments about the compiler optimization in llvm under SPM and I need performance evaluation. As I know, alpha is a general-purpose CPU, so I consider that arm may be an alternative. Simplesim-arm is able to do performance simulation while m5-arm is still under development. Then, what should I do? Do the experiment under

Hi all, I'm trying my best in changing the names of my experiments in the spectral map. My experiments are from six different time points, two as control and two treated experiments. I set have for each time point a different color . Now I want to change the symbols so that I have for the treated experiments one and for the controls a different one. But I want only two different symbols

Hi everyone, I would like to ask a question regarding to the data used to fit the mixed model. I wonder that, for the response variable data used to fit the mixed model (either via "spm" or "lme"), we must have several observations per subject (i.e. Yij, i = 1,..,M, j = 1,.., ni) or it can be just one observation per subject (i.e. Yi, i = 1,...,M). Since we have to

> > liveice is still virtually unmaintained. it's no longer relevant with > > ices 2 for vorbis things, if anyone wants to maintain this or has > > patches, Scott Manley is the person to talk to. > > I don't have a place to put up web pages about LiveIce et al, and with > all the myplay stuff taking my time my maintenance has been > non-existant. is

I received an assignment that I have to do in R, but I'm absolutely not very good at it. The task is the following: http://www.nabble.com/file/p22804957/question8.jpg To do this, we also get the following pieces of code (not in correct order): http://www.nabble.com/file/p22804957/hints.jpg I'm terrible at this and I'm completely stuck. The model I chose can be found in here: