50% off | Unlimited Data & AI Learning

Last chance! 50% off unlimited learning

Sale ends in


mixcure (version 2.0)

residuals.mixcure: Residuals for mixture cure models

Description

Obtain residuals for the mixture cure models

Usage

# S3 method for mixcure
residuals(
  object,
  data,
  type = c("WLCH", "Cox-Snell", "M-Cox-Snell", "Martingale", "M-Martingale", "M2",
    "M3", "D2"),
  type2 = c("residuals", "partial"),
  model = c("latency", "incidence"),
  ...
)

Arguments

object

an object of mixcure

data

the data used to obtain mixcure object.

type

residuals type. WLCH is a modified residual proposed in Wileyto et al (2013). The rest types of residuals are defined in the same way as in the classic survival models.

type2

residual type, either "residuals" for regular residuals or "partial" for partial residuals),

model

if "latency" (default), residuals for latency model are generated. Otherwise, "incidence" means that residuals for incidence model are generated.

...

for compatibility purpose. Not used.

Value

It is a list containing at least the following components:

type

residuals type

residuals

residuals of the model

Details

This function computes residuals for the fitted model from mixcure().

References

Peng, Y. and Taylor, J. M. G. Residual-based model diagnosis methods for mixture cure models. Biometrics, 73:495<U+2013>505, 2017

See Also

mixcure

Examples

Run this code
# NOT RUN {
data(leukaemia)
residuals(mixcure(Surv(time, cens) ~ transplant, ~ transplant,
data = leukaemia), data = leukaemia, type = "Martingale")


# }

Run the code above in your browser using DataLab