cutoffs {bayesclust} | R Documentation |
This is a table of pre-computed cut-off points for testing significance of clusters at the alpha=0.05 and 0.01 level.
data(cutoffs)
A table of cut-off points obtained by generating the null distribution of the posterior probability using the following parameters:
n
mcs
mcs
stands for Minimum Cluster Size. p
p
=2
corresponds to bivariate data.k
cutoff1pct
cutoff5pct
In order to test the significance of the Empirical Posterior Probability (EPP), it is necessary to generate its distribution under H_0, and compare the EPP to the sample quantile for the desired level of significance. However this simulation could take a considerably long time, and hence this table is provided to enable the experimenter to get a crude estimate of critical values at the alpha=0.05 and alpha=0.01 levels. The parameters under which the table was generated are part of the dataframe, allowing the experimenter to choose the closest set of conditions to his/her particular set-up.
Fuentes, C. and Casella, G. (2008) "Testing for the Existence of Clusters" http://www.stat.ufl.edu/~casella/Papers/paper-v3.pdf
Gopal, V. "BayesClust User Manual" http://www.stat.ufl.edu/~viknesh/bayesclust/clust.html
data(cutoffs) ## maybe str(cutoffs) ; plot(cutoffs) ...