| HR.test {CPAT} | R Documentation |
Rényi-Type Test
Description
Performs the (univariate) Rényi-type test for change in mean, as described in
(Rice et al. ). This is effectively an interface to
stat_Zn; see its documentation for more details. p-values are
computed using pZn, which represents the limiting distribution
of the test statistic under the null hypothesis, which represents the
limiting distribution of the test statistic under the null hypothesis when
kn represents a sequence t_T satisfying t_T \to \infty
and t_T/T \to 0 as T \to \infty. (log and
sqrt should be good choices.)
Usage
HR.test(x, kn = log, use_kernel_var = FALSE, stat_plot = FALSE,
kernel = "ba", bandwidth = "and")
Arguments
x |
Data to test for change in mean |
kn |
A function corresponding to the trimming parameter |
use_kernel_var |
Set to |
stat_plot |
Whether to create a plot of the values of the statistic at all potential change points |
kernel |
If character, the identifier of the kernel function as used in
cointReg (see |
bandwidth |
If character, the identifier for how to compute the
bandwidth as defined in cointReg (see
|
Value
A htest-class object containing the results of the test
References
Rice G, Miller C, Horváth L (????). “A new class of change point test of Rényi type.” in-press.
Examples
HR.test(rnorm(1000))
HR.test(rnorm(1000), use_kernel_var = TRUE, kernel = "bo", bandwidth = "nw")