Description Usage Arguments Value Author(s) References See Also Examples
View source: R/YPmodel.lackfittest.R
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.
1 2 3 4 5 6 7 8  | 
... | 
 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   | 
newBest | 
 Value of \hat{β} used in the two tests.  | 
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.  | 
Junlong Sun and Song Yang
YANG, S. AND ZHAO, Y. (2012). Checking the Short-Term and Long-Term Hazard Ratio Model for Survival Data. Scandinavian Journal of Statistics.
1 2 3 4 5 6 7 8  |     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)
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