survexpMC: Exponential survival analysis with MCMC

In SurviMChd: High Dimensional Survival Data Analysis with Markov Chain Monte Carlo

Description

Survival analysis with exponential distribution by MCMC

Usage

survexpMC(m1, n1, m2, n2, chains, iter, data)

Arguments

m1	Starting column number from where variables of high dimensional data will be selected.
n1	Ending column number till where variables of high dimensional data will get selected.
m2	Starting column number from where demographic observations starts
n2	Ending column number of the demographic observations
chains	Number of MCMC chains
iter	Number of MCMC iterations
data	High dimensional data having survival duration as (OS), event information as Death (1 if died, or 0 if alive).

Value

survexpMCout A data set listing estimated posterior means and deviances

Author(s)

Atanu Bhattacharjee and Akash Pawar

References

Kumar, M., Sonker, P. K., Saroj, A., Jain, A., Bhattacharjee, A., & Saroj, R. K. (2020). Parametric survival analysis using R: Illustration with lung cancer data. Cancer Reports, 3(4), e1210.

See Also

survweibMC

Examples

## Not run: 
##
data(headnneck)
survexpMC(m1=8,n1=12,m2=4,n2=7,chains=2,iter=10,data=headnneck)
##

## End(Not run)

SurviMChd documentation built on May 23, 2021, 5:07 p.m.