Description Usage Arguments Value References See Also Examples
The test nocrossings
should be used before one-sided testing via intELtest
or supELtest
to exclude the possibility of crossings or alternative orderings among the survival functions.
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formula |
a formula object with a |
data |
an optional data frame containing the variables in the |
group_order |
a k-vector containing the values of the grouping variable, with the j-th element being the group hypothesized to have the j-th highest survival rates, j=1,…,k. The default is the vector of sorted grouping variables. |
t1 |
the first endpoint of a prespecified time interval, if any, to which the comparison of the survival functions is restricted. The default value is 0. |
t2 |
the second endpoint of a prespecified time interval, if any, to which the comparison of the survival functions is restricted. The default value is ∞. |
sided |
2 if two-sided test, and 1 if one-sided test. The default value is 2. |
nboot |
the number of bootstrap replications in calculating critical values for the tests. The default value is 1000. |
alpha |
the pre-specified significance level of the tests. The default value is 0.05. |
seed |
the seed for the random number generator in |
nlimit |
a number used to calculate |
nocrossings
returns a nocrossings
object, a list with 12 elements:
call
the function call
decision
1 for rejection of the null hypothesis that there are crossings or alternative orderings among the survival functions, and 0 otherwise
formula
the value of the input argument of nocrossings
data
the value of the input argument of nocrossings
group_order
the value of the input argument of nocrossings
t1
the value of the input argument of nocrossings
t2
the value of the input argument of nocrossings
sided
the value of the input argument of nocrossings
nboot
the value of the input argument of nocrossings
alpha
the value of the input argument of nocrossings
seed
the value of the input argument of nocrossings
nlimit
the value of the input argument of nocrossings
Methods defined for nocrossings
objects are provided for print
and summary
.
H. Chang, I.W. McKeague, "Empirical likelihood based tests for stochastic ordering under right censorship," Electronic Journal of Statistics, Vol. 10, No. 2, pp. 2511-2536 (2016).
H. Chang, I.W. McKeague, "Nonparametric testing for multiple survival functions with non-inferiority margins," Annals of Statistics, Vol. 47, No. 1, pp. 205-232, (2019).
hepatitis
, intELtest
, supELtest
, ptwiseELtest
, print.nocrossings
, summary.nocrossings
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