similar to: Age-period-cohort model

Dear all, I want to use GraspeR (on R 1.6.0) and have to install tcltk library. When I try to do this, I get back this error message: Error in firstlib(which.lib.loc, package) : TCL_LIBRARY is not set Error in library(pkg, character.only = TRUE) : .First.lib failed But I have a tcl/tk package (Active TCL 8.4.1.0) correctly install on my PC (Win95) and in the autoexec.bat the

Dear R-listers, I have to explain "y", a continous variable, with two variables "t" and "p" which are "factor variables": t is [1:12] and p is [1:18] (a value for y for each combination t*p). OK, then I try to adjust models like: y=a_p + b*t (I mean as many intercepts as levels of p) or y=a_p + b_p*t (as many intercepts and coefficients for t as levels of

Dear R-list, I try to adjust GLMM on incidence cancer data. Without random effect, in GLM the command is, for example with sex effect, glm(Observed~sex+offset(log(Expected)),family=poisson) because the observed are Poisson distribued with parameter Expected*incidence rate. But know I want to introduce random effect (for example spatial effect) and it seems to me that the "offset" does

Dear R-list, I wish a very happy new year and send you a little question: I have different variables which names are m1, m2, m4, .., m10, ... and want to obtain for example mean of each of them without typing each mean(m1), mean(m2), .... What is the solution for decomposing names in mXX? With my best regards, EA. ============================================ Erik-André SAULEAU SEAIM Hôpital du

Hello R-List I use DClusters package (I work in a cancer regestry). I have 2 questions about it: 1-how is it possible to get back the bootstrap pValue? I mean the pValue of the calculated statistic with respect of the distribution of this statistic under the null hypothesis. 2-how is it possible to test an overdispersion in the poisson model? for choosing a best model I need this mesure of

Dear R-list, i have a problem, in the framework of simulations, i want to vectorize for earning time: a variable, say X, has values on intervals and an other variable, say Y, has values on other intervals. For example Inf Sup X 0 2 1 2 4 2 4 6 3 and Inf Sup Y 1 3 1 3 5 2 5 7 3 i want to create a matrix like this Inf Sup

R-users, i have some time series and use HEGY seasonal UR tests in the uroot package. But i have problems with interpretation of t and F statistics. Is there any critical values for these tests in R? is anybody ever write a bootstrap of these tests? thanks for advance, with all my bests, erik. ================================= Erik-André SAULEAU SEAIM Centre Hospitalier 87, Avenue

Dear R-list, I try to use StructTS for some univariate time series, with a type="BSM". I have two questions: 1-in the "fitted" value of the object, it seems to me that for getting back fitted values, one have to add level, slope and seasonal (or "level" contains already the two other ones) 2-i am really circumspect about the results of "KalmanForecast"

Hi, i want to create an object which contains different classes: for example i have some time series and test if ARIMA models are best than HoltWinters models: for each of my time serie i want to collect in an unique object which model was the best: for some it will be an HoltWinters class and for some other an Arima class. is there any solution?? thanks in advance, with my best, erik sauleau

Hello, Here is a patch for protocol_subnet.c with two modifications : - in tunnelserver mode, tinc must check subnets in the ".../hosts/owner" config file, not in "c->config_tree" (which is the configuration of the meta-connection from which we receive the ADD_SUBNET message). - this checking can be made before the check of the owner, especially before any

Hi, I am trying to estimate an ARIMA model in the case where I have some specific knowledge about the coefficients that should be included in the model. Take a classical ARIMA (or even ARMA) model: P(B) X(t) = Q(B) epsilon(t), where X(t) is the data, epsilon is a white noise, B is the backward operator and P and Q are some polynoms. Additionally, assume that you know in advance how P and Q

I have been experimenting with different possibilities for an "introduction" page for my packages. That is, a good place to tell users about the most important things in a package, and where to start. Recently there was a discussion about this, and a suggestion to use <foo>-package.Rd, and also a function that generates a skeleton document. My problem with this suggestion is

Hi I am still having problems with using the stl function, when I read the csv file into R into a file called tkr and use dim(tkr) the result is 132 1 which is fine. When coerce it into a trime series using ts either: tstkr <- ts(t(tkr), deltat=1/12) or tstkr <- ts(c(tkr), deltat=1/12) and use the stl function I get the following error: Error in

hi there, can anyone help me on the topic of frag polynoms? i just heard of a friend of mine, that i could build in a functioon called fragpoly (he was talking of such a function in the 'stata' language) in order to improve my process of finding an optimal linear model. instead of trying a vast amount of transformed inputdata to find the best fit and then step backwards down to e.g.

I am designing an interlaboratory validation study for a presence/absence alternative method test kit vs. a presence/absence reference method test kit. There will be 10 laboratories conducting tests using both methods. In each laboratory, there will be 5 specimens tested, each of the 5 specimens twice by both methods (alternative, standard). The total number of data are 10 x 5 x 4 = 200.

I have a study best described as a retrospective case-cohort design: the cases were all the events in a given time span surveyed, and the controls (event-free during the follow-up period) were selected in 2:1 ratio (2 controls per case). The sampling frequency for the controls was about 0.27, so I used a weight vector consisting of 1 for cases and 1/0.27 for controls for coxph to adjust

Hi R Users, I wish to estimate if there is a trend in my relative risk obtained by coxph. The best i've found is a method from Greenland and Longnecker ( Am J Epidemiology 1992 vol 135 (11) - p 1301-9 ). But all I have is my relative risk and their std error. Is there a command in R that can do this ? If there is someone with a better method ? Thanking you in advance, I look forward your

--------- begin included message --------- I tried to compare if cch() and coxph() can generate same result for same case cohort data Use the standard data in cch(): nwtco Since in cch contains the cohort size=4028, while ccoh.data size =1154 after selection, but coxph does not contain info of cohort size=4028. The rough estimate between coxph() and cch() is same, but the lower and upper CI

> Now that we have case cohort model , we have 1000 people and 50 cases > Let the first 10 cases occur at the same time > second 10 " > third 10 " > fourth 10 " > fifth 10 " > How easy is it to randomly sample 50 different > cohort controls for each group? >That

Hi All, I am in the middle of doing an analysis of a Case-Cohort design. I had three questions about the analysis: a) Does any one know of some public code for developing the patient risk sets (indexed by failure time) or is there a better way to organize the data? b) I was planning to use the Barlow weighting method. Has this or any other weighting method (Prentice, Self-Prentice) been