Actually, I need a simple R code to simulate random censored data. In addition, a code for simulating left censored data.
Your help would be greatly appreciated.
Dear Seyed Mahdi Amir Jahanshahi
For randomly right-censored data, I recommend this preprint to you: (PDF) Sampling with censored data: a practical guide (researchgate.net). All codes in R software used are available.
Sincerely
Dear Alex Mota , thank you very much.
see LindleyR R package.
Dear Josmar Mazucheli, thank you very much.
You may use the NADA package in R, with comprehensive and powerful functions for your purpose.
Please read the attached document for more details.
Dear Saeed, thank you very much.
Interested
Read this article "Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction"
Read the section 5 of the article "On Randomly Censored Generalized Inverted
Exponential Distribution"(2016) Renu Garg, Madhulika Dube, Kapil Kumar & Hare Krishna.
Conference Paper R - Packages with Applications from Complete and Censored Samples
Thank you Goel and Almetwally.
install.packages("LindleyR")
library(LindleyR)
?randcensor
You may use the R Codes in this Appendix : https://link.springer.com/content/pdf/bbm%3A978-1-4939-0005-3%2F1.pdf
--------------------------------------------------
And use the R Codes in this paper:
https://arxiv.org/pdf/2011.08417.pdf
Thanks a lot Amr R. Kamel
I suggest generating the uncensored data (original data) at first. After that, you can impose the censoring mechanism. Good luck
interested
Good Babak.
You can use our package LindleyR with randcensor function to generate right, left and interval censored data.
Hi Ricardo Puziol de Oliveira, Thank you very much.
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