similar to: p value from lmekin()

Version 2.2 of coxme has been posted to CRAN, Windows versions and mirrors should appear in due course. This is a major update with three features of note: 1. A non-upwardly compatable change: Extractor functions: beta= fixed effects, b=random effects nlme lme4 coxme <2.2 coxme 2.2 lmekin 2.2 ------------------------------------------------------ beta

Hi, R experts I am currently using lmekin() function in coxme package to fit a mixed effect model for family based genetic data. How can I extract the p value from a lmekin object? When I print the object in R console, I can see the p value and Z value are just over there. But I can not extract them by the coef() function. kinfit$coefficient$fixed (kinfit is the name of the lmekin object)

I am making the question clear. Please help. > Dear R experts > > I was using kinship package to fit mixed model with kinship matrix. > The package looks like lme4, but I could find a way to extract p-value > out of it. I need to extract is as I need to analyse large number of > variables (> 10000). > > Please help me: > > require(kinship) > > #Generating

I'm testing out a new version of coxme and R CMD check fails with "could not find function ranef" (or random.effects or fixef, or anything from nlme). The NAMESPACE file has the line below importFrom(nlme, ranef, random.effects, fixef, fixed.effects, VarCorr) and nlme is declared in the DESCRIPTION file as an import. I feel that I must be staring at some obvious (but

Dear R experts I was using kinship package to fit mixed model with kinship matrix. The package looks like lme4, but I could find a way to extract p-value out of it. I need to extract is as I need to analyse large number of variables (> 10000). Please help me: require(kinship) Generating random example data id <- 1:100 dadid <- c(rep(0, 5), rep(1, 5), rep(3, 5), rep(5, 5), rep(7,

I've moved nlme from Depends to Imports in my coxme package. However, a few of the examples for lmekin use one of the data sets from nlme. This is on purpose, to show how the results are the same and how they differ. If I use data(nlme::ergoStool) the data is not found, data(nlme:::ergoStool) does no better. If I add importFrom(nlme, "ergoStool") the error message is that

>>>>> Therneau, Terry M , Ph D <therneau at mayo.edu> >>>>> on Sun, 15 Feb 2015 17:31:00 -0600 writes: > I'm testing out a new version of coxme and R CMD check fails with "could not find function > ranef" (or random.effects or fixef, or anything from nlme). The NAMESPACE file has the > line below >

The coxme package has a ranef() method, as does lme4. I'm having trouble getting them to play together, as shown below. (The particular model in the example isn't defensible, but uses a standard data set.) The problem is that most of the time only one of lme4 or coxme will be loaded, so each needs to define the basic ranef function as well as a method for it. But when loaded together

I'm having a problem rebuilding a package, new to me in R 2.15.0 (Linux) It hits all that contain the line \usepackage[pdftex]{graphics} and leads to the following when running R CMD check on the directory. (I do this often; a final run on the tar.gz file will happen before submission.) Since I float and resize my figures, removing the line is fatal in other ways.

Take a look at lmekin() in the coxme package. The motivating data set for my development of coxme was the Minnesota Family Breast Cancer project: 24050 subjects in 462 families. The random effect is an intercept per subject with sigma^2 K as its variance where K is the kinship matrix (1 for self-self, .5 for parent-child or sib-sib, .25 for uncle-neice, etc). lmekin is a linear models front

The current coxme code has functions that depend on bdsmatrix and others that depend on Matrix, both those pacakges define S4 methods for diag. When loaded, the message appears: replacing previous import ?diag? when loading ?Matrix? Questions: 1. Do I need to worry about this? If so, what can I do about it? I suppose I could add an importFrom directive, but it will be a pain unless there

> Message: 24 > Date: Tue, 31 Jan 2006 18:22:52 +0000 > From: "Lutz Ph. Breitling" <lutz.breitling at gmail.com> > Subject: [R] Mixed-effects models / heterogeneous covariances > To: r-help at stat.math.ethz.ch > Message-ID: > <2e38a1c80601311022i2e1be92doa60b80b50b69eb0c at mail.gmail.com> > Content-Type: text/plain; charset=ISO-8859-1 > > Dear

Someone just sent me a data set that causes the lmekin function, part of the kinship package, to fail. In chasing it down I get an error I have never seen before. fit <- lmekin(icam1 ~ factor(center) + age + factor(sex), random= ~1|iid, data=chaidata, varlist=kmat) Error in Y - fitted : non-numeric argument to binary operator Add the recover option, and the offending lines are

On 16/02/2015 8:20 AM, Therneau, Terry M., Ph.D. wrote: > >> > I'm testing out a new version of coxme and R CMD check fails with "could not find function >> > ranef" (or random.effects or fixef, or anything from nlme). The NAMESPACE file has the >> > line below >> >> > importFrom(nlme, ranef, random.effects, fixef,

Hi, I had a problem with the lmekin() in kinship package: lmekin() can not be wrapped into another function library(kinship) #creat an example dataset xx<-rnorm(100) yy<-rnorm(100) id<-1:100 test.dat<-as.data.frame(cbind(xx,yy,id)) rm(xx,yy,id) a<-bdsmatrix(rep(10,10),rep(block,10),dimnames=list(c(1:100),c(1:100))) #100x100 block (n=10) diagonal matrix to indicate the

Hi All, I have tried every fix on my try or tryCatch that I have found on the internet, but so far have not been able to get my R code to continue with the "for loop" after the lmer model results in an error. Here is two attemps of my code, the input is a 3D array file, but really any function would do.... metatrialstry<-function(mydata){ a<-matrix(data=NA, nrow=dim(mydata)[3],

Hi,I use the 'lmekin' model of the 'kinship' package of R in order to estimate heritability. I want to estimate the confidence interval of the variance coefficient and so I should use a bootstrap simulation. The pedigree file has 1386 subjects so I create a kinship matrix [1386*1386].This is the code of R I use: kfit2 <- lmekin(IT~1+AGE +(1|ID), dati1,

Hello, Why the correlation between the random effects is negative? library(coxme) rats1 <- coxme(Surv(time, status) ~ (1|litter), rats) random.effects(rats1)[[1]] #one value for each of the 50 litters print(rats1) rats2 <- lmekin(time ~ (1|litter), rats) fixed.effects(rats2) random.effects(rats2)[[1]] #one value for each of the 50 litters print(rats2)

R-experts: In 2002, Hans Van Houwelingen et al. published a tutorial on how to do meta-regression in Statistics in Medicine. They used the classic BCG dataset of Colditz to demonstrate correct methodology and computed the results using PROC MIXED in SAS. In trying to duplicate the results presented in this paper, I have discovered that I can reproduce certain items with lmer but not

> > I'm testing out a new version of coxme and R CMD check fails with "could not find function > > ranef" (or random.effects or fixef, or anything from nlme). The NAMESPACE file has the > > line below > > > importFrom(nlme, ranef, random.effects, fixef, fixed.effects, VarCorr) > > > and nlme is declared in the DESCRIPTION