[R] Joint modelling of survival data

[ryusuke]

Assume that we collect below data : -
subjects  = 20 males + 20 females, every single individual is independence,
and difference
events = 1, 2, 3... n
covariates = 4 blood types A, B, AB, O

http://r.789695.n4.nabble.com/file/n4245397/CodeCogsEqn.jpeg 

λm = hazards rates for male
λn = hazards rates for female
Wm = Wn x ε, frailty for males, where ε is the edge ratio of male compare to
female
Wn = frailty for females
X = covariates, blood types effects
β = coefficients of blood types

I would like to apply frailty model to get below results:-
1) 1 edge ratio between male and female ε
2) 4 coefficient values of blood types β

Under this situation, shall I use which package (coxme or frailtypack)? will
coxme function able to cope with it?

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