similar to: effective df in local polinomial regression

Greetings, R users! It is with pleasure that I am announcing the release of msmtools package on CRAN: https://cran.r-project.org/web/packages/msmtools/index.html msmtools provides a fast and general method for restructuring classical longitudinal data into augmented ones. The reason for this is to facilitate the modeling of longitudinal data under a multi-state framework using the 'msm?

Hi to everyone, I'm a PhD student and I'm involved in non parametric analyses of hierarchical models. I tried to use package DPpackage on my data, but I encountered some problems in interpreting ouputs. Can anybody help me? The problem can be remued as follows: I have a logit hierarchical model for survival (i.e. binary response) in patients affected by heart failure (the court

I would like to know if there exist any package on the profyle analysis, or on repeated measures, (AUC)... Thank for answering me, Anna Maria Paganoni Dipartimento di Matematica Politecnico di Milano piazza Leonardo da Vinci, 32 20133 Milano, Italy tel +39-0223994574 fax +39-0223994568 e-mail annap at mate.polimi.it

Hola compañeros de la lista, qué tal. Los molesto con la siguiente duda: Tengo un experimento con dos factores A y B, cada uno de los cuales tiene los siguientes niveles (que son concentraciones de dos hormonas vegetales aplicadas a plantas): niveles del factor A: 0, 0.2, 0.5, 1 niveles del factor B: 0, 0.1, 0.2, 0.5, 1 y mi variable de respuesta es continua, todo dentro del set de datos

dear R-helper, I tried to find out a package in which i can have penalized maximum likelihood estimator applying on generalized extreme value distribution with beta function) but could not. would you please help me to know the name of the package. thanks for your help. S.Murshed --- r-help-request at stat.math.ethz.ch wrote: > Send R-help mailing list submissions to > r-help at

I have two variables which show a typical quantile relation I would like to fit quantile regression models based on both logarithm and polynomial of second order functions within quantreg. Any help appreciated... Cheers Duccio Herewith the values: ------ var1 var2 0.96429 0.00138 1 0.02316 1.03145 0.09323 1.24088 0.77128 1.39869 0.86732 1.33728 0.63674 1.48299 0.96194

Hi all, I have a data frame called "rst", see below: ------------------------------------------------------------------------------------------ # This is a paste able example # In case you don't have "KernSmooth" package installed, please uncomment below line. # install.packages("KernSmooth") library(KernSmooth) rst <- data.frame(hsp = rnorm(23), dal =

Dear list, I've got a question concerning difference between loess and locpoly. I have to use a plug-in method to chose a bandwith so I take locpoly method to fit a curve. My problem is:I know how to get predicted values in loess: m=loess(y~x) y_fitted=predict(m). But how to get the same in locpoly? I computed like this: bw=dpill(x, y, blockmax = 5, divisor = 20,trim = 0.01, proptrun =

1. Please do make use of the subject line. 2. Please (re-)read the description of the `range.x' argument in ?locpoly: it's suppose to be a vector of min and max x values. 3. I hope you realize how grossly inefficient this computation is... Andy > From: klea lambrou > > > hello R-users.could you please help me on this one?i have > 2 vectors x1 > and y1 and

I''ve a problem with managing power consumption on Intel Nehalem CPU. I''ve installed Xen 3.4 on our Dell PowerEdge T610 system on a Ubuntu 9.04 distribution. I recompiled the kernel 2.6.30rc5. Now I can see the c-states of the CPUs but no access to P-states information and the frequency scaling does not work. By the way, if I run the kernel 2.6.28.13 which is the last one

I'm trying to personalize the rpart function by introducing a list('init','split','eval') in the argument method. But I receive an error message:"Error in t.default(x): argument is not a matrix". Can anyone tell me what the argument of this function is or where this function appears in the rpart function.Thanks Simone Vantini

I'd like to create a bidimensional presentation of a classification tree built using the rpart() function. I've seen that a partition.tree() function exists for the tree() function. Does a similar function exist for the rpart() function? Thanks a lot Simone Vantini

Hello I successfully upgraded to xen 4.0 on my Gentoo servers and I''m trying to use remus to enhance servers'' HA. first of all: I''ve tried remus with --no-net option just to test and it works fine, if I try to run it without that option it just stops claiming that no sch_queue module can be loaded. That module is present in xen 4.0 source tree, but my gentoo seems not

Dear R users, I am using lme and nlme to account for spatially correlated errors as random effects. My basic question is about being able to correct F, p, R2 and parameters of models that do not take into account the nature of such errors using gls, glm or nlm and replace them for new F, p, R2 and parameters using lme and nlme as random effects. I am studying distribution patterns of 50 tree

Updating my 1.8.0 R installation (>update.packages() ) I obtain the following (SORRY FOR THE LENGTH OF THE LOG BUT IT HELPS!!!): ................ downloaded 135Kb KernSmooth : Version 2.22-11 in /usr/lib/R/library Version 2.22-12 on CRAN Update (y/N)? y mgcv : Version 0.9-3.1 in /usr/lib/R/library Version 0.9-6 on CRAN Update (y/N)? y trying URL

is there a way of estimating derivative curves, similar to the ones we get from 'locpoly', from 'loess' estimation. i am interested in estimation of 1st and 2nd derivatives... --------------------------------- [[alternate HTML version deleted]]

Dear R Users, When using locpoly function, number of output values is smaller than the number of input values. How is it possible to get number of output component $y equal to the number of inputs. Thanks a lot, Amir --------------------------------- [[alternative HTML version deleted]]

Hello All, Is there a local bandwidth selection routine for local polynomial regression (locpoly) ? Thanks Chinthaka Kuruwita

Dear R users, I am currently using the locpoly function from the KernSmooth package to estimate densities. However, I have some trouble understanding how this estimation technique is implemented in R. My main concern comes from the fact that this function gives negative estimates when the bandwidth is sufficiently large (mainly in the tails of distributions). I have read some articles on this

Hallo! I am a student of the Politecnico di Milano (Milan, italy) and I'm working on CARTs. I'm trying to use the R rpart function with a personalized splitfunction... but I'm not able to do it! More precisely, I would like to know what is the meaning of the function 'init', 'split' and 'eval' named in the help page.I can't find any answer in