Have you tried the packages 'survival' and 'eha' yet? You can
use the survreg() function in the former to compare between different models.
Have a look at this tutorial: http://www.openintro.org/stat/surv.php (a copy can
also be found here:
http://anson.ucdavis.edu/~hiwang/teaching/10fall/R_tutorial%201.pdf)
Here's the task view to learn what's available in R to run survival
analysis: http://cran.r-project.org/web/views/Survival.html
Hope this helps.
Jos?
Prof. Jos? Iparraguirre
Chief Economist
Age UK
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Emmanuel Gim?nez
Sent: 24 July 2013 10:33
To: r-help at r-project.org
Subject: [R] Adjusting published survival functions
Dear,
I would like to know how to adjust survival functions in R and after reading
lots of posts I don't have it clear. I downloaded the fitdistrplus package
but it seems me like it only fits univariately the functions.
Being specific , having a survival curve which corresponds to a set of data such
as:
"months" "survival"
1 0,9
2 0,85
3 0,83
3,5 0,8
4,2 0,75
5 0,43
7 0,4
9 0,3
11 0,3
13 0,3
i'm searching the parameters that fit with the curve with loglogistic,
lognormal and weibull, and then, comparing the AICs of the adjustments, to
select the best fit curve.
Could you please help me?
Thank you in advance,
Manu
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