FreqSurv_HReg: The function to fit parametric Weibull models for the...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/FreqSurv_HReg.R

Description

Independent univariate right-censored survival data can be analyzed using hierarchical models.

Usage

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FreqSurv_HReg(Formula, data, na.action = "na.fail", subset=NULL)

Arguments

Formula

a Formula object of the form y+δ ~ x. See Details and Examples below.

data

a data.frame in which to interpret the variables named in Formula.

na.action

how NAs are treated. See model.frame.

subset

a specification of the rows to be used: defaults to all rows. See model.frame.

Details

See BayesSurv_HReg for a detailed description of the models.

Value

FreqSurv_HReg returns an object of class Freq_HReg.

Author(s)

Sebastien Haneuse and Kyu Ha Lee
Maintainer: Kyu Ha Lee <[email protected]>

References

Lee, K. H., Haneuse, S., Schrag, D., and Dominici, F. (2015), Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis, Journal of the Royal Statistical Society: Series C, 64, 2, 253-273.

Alvares, D., Haneuse, S., Lee, C., Lee, K. H. (2018+), SemiCompRisks: an R package for independent and cluster-correlated analyses of semi-competing risks data, submitted, arXiv:1801.03567.

See Also

print.Freq_HReg, summary.Freq_HReg, predict.Freq_HReg, BayesSurv_HReg.

Examples

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## Not run: 	
# loading a data set	
data(survData)

form <- Formula(time + event ~ cov1 + cov2)

fit_WB <- FreqSurv_HReg(form, data=survData)
fit_WB
summ.fit_WB <- summary(fit_WB); names(summ.fit_WB)
summ.fit_WB
pred_WB <- predict(fit_WB, tseq=seq(from=0, to=30, by=5))
plot(pred_WB, plot.est="Haz")
plot(pred_WB, plot.est="Surv")

## End(Not run)

SemiCompRisks documentation built on May 7, 2018, 9:04 a.m.