This is an R package that implements the method of Rank Preserving Strucutural Failure Time models to estimate causal effects in failure time models in randomised control trials where participants do not comply with the treatment assigned.
As an example:
library(rpsftm)
?immdef
fit <- rpsftm(Surv(progyrs, prog)~rand(imm,1-xoyrs/progyrs), data = immdef, censor_time = censyrs)
summary(fit)
#> rpsftm(formula = Surv(progyrs, prog) ~ rand(imm, 1 - xoyrs/progyrs),
#> data = immdef, censor_time = censyrs)
#> Length Class Mode
#> n 2 table numeric
#> obs 2 -none- numeric
#> exp 2 -none- numeric
#> var 4 -none- numeric
#> chisq 1 -none- numeric
#>
#> psi: -0.1811218
#> exp(psi): 0.8343337
#> Confidence Interval, psi -0.3497161 0.001993204
#> Confidence Interval, exp(psi) 0.7048882 1.001995
plot(fit)
The main function is rpsftm which returns an object that has print, summary, and plot S3 methods.
See the vignette rpsftm_vignette for further details, explanation and examples.