similar to: Error message from flexsurvreg

Dear all, I am fitting a parametric regression model to survival data using the flexsurvreg function from the flexsurv package. I am using a Gompertz distribution (a 2-parameter distribution) to describe the hazard function and I want to compare two groups. The model is very simple: flexsurvreg(formula = Surv(day, censored) ~ group, dist = "gompertz") and the output is also quite

I am trying to write a lesson on maximum likelihood with Sweave. I get a surprising result with the following code, lec4.Snw: \documentclass[a4paper,12pt]{article} \usepackage[latin1]{inputenc} \title{Maximum likelihood} \author{G伱伓ran Brostr伱伓m} \begin{document} \maketitle <<fig=TRUE>>= ## Simulate Y: n <- 25 Y <- sum(rpois(n, lambda = 1)) Y ## Define minusloglik:

Dear R-users, I'm running an MLE procedure where some ODEs are solved for each iteration in the maximization process. I use mle2 for the Maximum likelihood and deSolve for the ODEs. The problem is that somewhere along the way the ODE solver crashes and I get the following error message: DLSODA- Warning..Internal T (=R1) and H (=R2) are such that in the machine, T + H = T on the next

Dear R I am trying to understand and use the flexible parametric survival model suggested by Royston and Parmar. However I am stuck trying to plot the adjusted survival curves for different covariates in the following code: library(flexsurv) library(graphics) spl <- flexsurvspline(Surv(futime, fustat) ~ rx+ecog.ps+resid.ds+age, data = ovarian, k=2, scale="odds") spl the code

Hi all, Sorry if this has been answered already, but I couldn't find it in the archives or general internet. Is it possible to implement the gompertz distribution as survreg.distribution to use with survreg of the survival library? I haven't found anything and recent attempts from my side weren't succefull so far. I know that other packages like 'eha' and

Dear all, I am using R 4.4.0 via RStudio (2024.04.0) on a Windows PC. The code below worked on the previous version of the flexsurv but is not working since my recent update (version 2.3). The code that was working is: library(survival) rfs <- pmax(rotterdam$recur, rotterdam$death) rfstime <- with(rotterdam, ifelse(recur==1, rtime, dtime)) fit1 <- flexsurvspline(Surv(rfstime, rfs) ~

Hi, After loading R 4.0.0 on Ubuntu 20.04. R version 4.0.0 (2020-04-24) -- "Arbor Day" Copyright (C) 2020 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()'

Hi, I am running the following model: fit1.full <- coxme(Surv(age_sym1, sym1) ~ sex + lifedxm*sex + (1|famid), data=bip.surv) I would like to extract the AIC from that object to calculate the AICC. However, when I look at str(fit1.full) and summary(fit1.full) (pasted below) I don't see anything that would allow me to get pull the AIC out from that object. Is there a way to retrieve the