search for: survivors

Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]

Hello, I have a survivor curve that shows account cancellations during the past 3.5 months.  Fortunately for our business, but unfortunately for my analysis, the survivor curve doesn't yet pass through 50%.  Is there a safe way to extend the survivor curve and estimate at what time we'll hit 50%? We started a new program 3.5 months ago, and I believe that this set of accounts behaves

Hi, I tried to do a nested Anova with the attached Data. My response variable is "survivors" and I would like to know the effect of (insect-egg clutch) "size", "position" (of clutch on twig) and "clone" (/plant genotype) on the survival of eggs (due to predation). Each plant was provided with three different sizes of clutches (45,15,5) and had pseudo...

Two questions: I have a lot of data for which the last of each of the repeated individual obserations is censored. Apart from the suite in survival, which seems to be very complex to a new R user, is there any other simple function that exists in CRAN library (I have most of these but haven't found one!) that is essentially the same as lm() but with an additional censor argument (vector of

Dear R users, I need to to the the following. Let a= 1 2 3 4 5 6 and b= -1 -2 -3 be (2x3) matrices. -4 -5 -6 I need to combine the two matrices into a new (2x6) matrix like this: ab = ( 1 -1 2 -2 3 -3 ) 4 -4 5 -5 6 -6 How can this be done in R? ----------------------------------------------------------------- ?????? ???

Hi, I am trying to convert the following NLMIXED code to NLME, but am running into problems concerning 'Singularity in backsolve'. As I am new to R/S-Plus, I thought I may be missing something in the NLME code. NLMIXED *********** proc nlmixed data=kidney.kidney; parms delta=0.03 gamma=1.1 b1=-0.003 b2=-1.2 b3=0.09 b4=0.35 b5=-1.43 varu=0.5; eta=b1*age+b2*sex+b3*gn+b4*an+b5*pkn+u;

I have a question about constructing the likelihood function where there is censoring at level 1 in a two-level random effects sum. In a conventional solution, the likelihood function is constructed using the density for failures and the survivor function for (in this case, right) censored results. Within (for example) an R environment, this is easy to do and gives the same solution as survreg

Dear R users, I am using the vars package to calculate the impulse response functions and the forecast error variance decomposition of a VAR model. Unfortunately I do not know whether these functions assume unit or one standard deviation shocks. I tried to look into the code of these functions, but in vain: neither irf, nor vars::irf, nor vars:::irf output the code of the functions. Does someone

Dear all, I'm trying to fit a curve to some 1 year failure-time data, so that I can extrapolate and predict failure rates up to 3 years. The data is in the general form: Treatment Time Status Treatment A 28 0 Treatment B 28 0 Treatment B 28 0 Treatment A 28

Dear R users, Please can you help me with a relatively straightforward problem that I am struggling with? I am simply trying to plot a baseline survivor and hazard function for a simple data set of lung cancer survival where `futime' is follow up time in months and status is 1=dead and 0=alive. Using the survival package: lung.wbs <- survreg( Surv(futime, status)~ 1, data=lung,

Hola, Me gustaría obtener las reglas que genero con un árbol de decicisión creado con party. Algo parecido a lo que realiza esta función con rpart http://www.togaware.com/datamining/survivor/Convert_Tree.html la idea es disponer de esas reglas en un fichero de texto. En general si alguien sabe de algún paquete que permita obtener el código que genera la puntuación, el "score" para un

Dear Mr. Therneau, Mr. Fox, or to whoever, who has some time... I don't find a solution to use the "survfit" function (package: survival) for a defined pattern of covariates with a Cox-Model including a time dependent interaction term. Somehow the definition of my "newdata" argument seems to be erroneous. I already googled the problem, found many persons having the

Hi folks, Does anyone know how to install the OCI8 ruby interface on Debian64 without having to install Oracle? My understanding, from experience with Debian i386, is that you need Oracle (specifically the SQLPlus) installed to be able to compile OCI8. Since my new dev machine is AMD64 running Debian, I''m stuck. My rails applications need to connect to a remote Oracle 10g, but cannot

...and the error (shown below). How can I debug this? i.e., Is there something I can add to the example to help track down the cause of these errors? Has anyone experienced anything similar? \examples{ require(ggplot2) plot_troops <- ggplot(Minard.troops, aes(long, lat)) + geom_path(aes(size = survivors, colour = direction, group = group)) plot_both <- plot_troops + geom_text(aes(label = city), size = 4, data = Minard.cities) plot_polished <- plot_both + scale_size(to = c(1, 12), breaks = c(1, 2, 3) * 10^5, labels = comma(c(1, 2, 3) * 10^5)) + scale_colour_manual(values = c("gre...

Dear Group, I have followed the instructions from the link http://datamining.togaware.com/survivor/Installing_GTK.html However i couldn't fix the libatk01.0.0.dll application error Here, i did uninstall R-Gui-2.4.0 then did the fresh installation and still facing the same problem I am using Windows- XP *Please find the following* R version 2.4.0 (2006-10-03) Copyright (C) 2006 The R

Version 2.4.0 of Rattle has been released to CRAN. The rattle package (http://rattle.togaware.com) is a multi platform (GNU/Linux, Mac/OSX, MS/Windows) GTK based GUI for data mining (for exploring data and building descriptive and predictive models). It has undergone a lot of development over the past year. A companion book introducing data mining using Rattle is under development, with a draft

Dear R users, I need perform structural analysis on a no intercept VAR model. Unfortunately the functions irf.VAR and dfev that come with the MSBVAR package only work with objects output by the reduced.form.var function, which seems to only evaluate VAR models with intercept. Is there a way to suppress the estimation of intercept term in reduced.form.var? Do I need to modify the code, and if I

...ess 4 90.2500000 82.0000000 100.2500000 7 shannon 1 3.9139870 3.7895134 4.0081557 8 shannon 4 3.9364410 3.8454223 3.9966735 9 simpson 1 0.9676981 0.9650888 0.9699434 10 simpson 4 0.9672897 0.9637745 0.9703296 11 survivors 1 0.0000000 0.0000000 0.0000000 12 survivors 4 252.5000000 232.0000000 273.0000000 library(lattice) library(grid) library(Hmisc) xYplot( Cbind(mean, Lower, Upper) ~ date | response, groups = water, data = sum.sap, type = "l", lty = c(1, 2), col = "bla...

Dear all, What is the cumulative distribution (with parameterization) used within survreg with respect to the log-logistic distribution? That is, how are the parameters linked to the survivor function? Best regards, Mario [[alternative HTML version deleted]]

Version 2.4.0 of Rattle has been released to CRAN. The rattle package (http://rattle.togaware.com) is a multi platform (GNU/Linux, Mac/OSX, MS/Windows) GTK based GUI for data mining (for exploring data and building descriptive and predictive models). It has undergone a lot of development over the past year. A companion book introducing data mining using Rattle is under development, with a draft