YPmodel.lackfittest {YPmodel} | R Documentation |
Martingale residual-based & contrast-based lack-of-fit tests
Description
Four functions to perform the two lack-of-fit tests (martingale residual-based & contrast-based), to print results, and to draw randomly selected realizations of the process.
Usage
## S3 method for class 'lackfittest'
YPmodel(data, repNum, Internal, ...)
## S3 method for class 'YPmodel.lackfittest'
summary(object, ...)
## S3 method for class 'YPmodel.martint'
plot(x, Internal, ...)
## S3 method for class 'YPmodel.survf'
plot(x, Internal, ...)
Arguments
... |
For S4 method only. |
data |
A properly qualified filename where text data is to be saved, or a dataframe of input data set with three vectors: the event / censoring time (unite: year), the censoring indicator, and the group membership indicator. See the structure of sample data set |
repNum |
Number of times the resampling simulations are done. |
Internal |
A dataframe of internal parameters, used only to perform hypothesis tests and plot (and to accelerate the speed). |
x |
A dataframe of the two lack-of-fit tests, generated by |
object |
A dataframe of the two lack-of-fit tests, generated by |
Value
newBest |
Value of |
pvalu1 |
p-value from martingale residual-based test. |
pvalu2 |
p-value from contrast-based test. |
mobs1 |
Parameter used in plotting martingale residual-based test. |
mobs2 |
Parameter used inplotting contrast-based test. |
obs |
Parameter used in plotting martingale residual-based test. |
obs2 |
Parameter used in plotting contrast-based test. |
wtildCount1 |
Parameter used in plotting martingale residual-based test. |
lineCount1 |
Parameter used in plotting martingale residual-based test. |
wtildCount2 |
Parameter used in plotting contrast-based test. |
lineCount2 |
Parameter used in plotting contrast-based test. |
Author(s)
Junlong Sun and Song Yang
References
YANG, S. AND ZHAO, Y. (2012). Checking the Short-Term and Long-Term Hazard Ratio Model for Survival Data. Scandinavian Journal of Statistics.
See Also
Examples
library(YPmodel)
data(gastric)
LackFitTest <- YPmodel.lackfittest(data=gastric, repNum=100)
summary.YPmodel.lackfittest(LackFitTest)
plot(LackFitTest)
plot.YPmodel.martint(LackFitTest)
plot.YPmodel.survf(LackFitTest)