SurviMChd (version 0.1.2)

frairand: Frailty with random effects in high dimensional data with MCMC

Description

Random effects frailty model

Usage

frairand(m, n, Ins, Del, Time, T.min, chn, iter, adapt, data)

Value

frairandout omeg[i] are frailty effects.

Arguments

m

Starting column number form where study variables to be selected.

n

Ending column number till where study variables will get selected.

Ins

Variable name of Institute information.

Del

Variable name containing the event information.

Time

Variable name containing the time information.

T.min

Variable name containing the time of event information.

chn

Numner of MCMC chains.

iter

Define number of iterations as number.

adapt

Define number of adaptations as number.

data

High dimensional data having survival duration, event information and column of time for death cases.

Author

Atanu Bhattacharjee and Akash Pawar

Details

By given m and n, a total of 3 variables can be selected.

References

Tawiah, R., Yau, K. K., McLachlan, G. J., Chambers, S. K., & Ng, S. K. (2019). Multilevel model with random effects for clustered survival data with multiple failure outcomes. Statistics in medicine, 38(6), 1036-1055.

See Also

fraidm fraidpm

Examples

# \donttest{
##
data(frailty)
frairand(m=5,n=7,Ins="institute",Del="del",Time="timevar",T.min="time.min",chn=2,iter=6,
 adapt=100,data=frailty)
##
# }