Simulates p-value for dip test
Simulates p-value for dip test (see dip)
in the way suggested by Tantrum, Murua and Stuetzle (2003) from the
clostest unimodal distribution determined by kernel density estimation
with bandwith chosen so that the density just becomes unimodal. This is
less conservative (and in fact sometimes anti-conservative) than the
values from dip.test.
dipp.tantrum(xdata,d,M=100)
xdata |
numeric vector. One-dimensional dataset. |
d |
numeric. Value of dip statistic. |
M |
integer. Number of artificial datasets generated in order to estimate the p-value. |
List with components
p.value |
approximated p-value. |
bw |
borderline unimodality bandwith in |
dv |
vector of dip statistic values from simulated artificial data. |
J. A. Hartigan and P. M. Hartigan (1985) The Dip Test of Unimodality, Annals of Statistics, 13, 70-84.
Tantrum, J., Murua, A. and Stuetzle, W. (2003) Assessment and Pruning of Hierarchical Model Based Clustering, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, Washington, D.C., 197-205.
# not run, requires package diptest # x <- runif(100) # d <- dip(x) # dt <- dipp.tantrum(x,d,M=10)
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