The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

simIC

The simIC package provides tools for simulating and analyzing interval-censored survival data, including left-, right-, and uncensored observations, using a variety of parametric distributions. It is useful for teaching, model development, and method evaluation in survival analysis.

✨ Features

📦 Installation

You can install the development version of simIC from GitHub:

```r install.packages(“remotes”) remotes::install_github(“jayarasan/simIC”) library(simIC)

🧪 Simulate Survival Data # Interval-censored data only (no visit window) data <- simIC(n = 100, dist = “weibull”, shape = 1.5, scale = 5, width = 2)

Left-, right-, and uncensored data using a follow-up window and tolerance

data <- simIC(n = 100, dist = “weibull”, shape = 1.5, scale = 5, width = 2, start_time = 0, end_time = 10, uncensored_tol = 0.1)

📈 Model Fitting Examples

Direct MLE for interval-censored data

fit_int <- mle_int(data\(left, data\)right, dist = “weibull”) print(fit_int$estimates)

Imputation-based MLE (midpoint)

fit_imp <- mle_imp(data\(left, data\)right, dist = “weibull”, impute = “midpoint”) print(fit_imp$estimates)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.