Aliases: mclustBootstrapLRT print.mclustBootstrapLRT plot.mclustBootstrapLRT
### ** Examples ## No test: data(faithful) faithful.boot = mclustBootstrapLRT(faithful, model = "VVV")
bootstrapping LRTS ... | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |== | 4% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======= | 11% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========= | 14% | |========== | 14% | |========== | 15% | |=========== | 15% | |=========== | 16% | |============ | 16% | |============ | 17% | |============ | 18% | |============= | 18% | |============= | 19% | |============== | 19% | |============== | 20% | |============== | 21% | |=============== | 21% | |=============== | 22% | |================ | 22% | |================ | 23% | |================ | 24% | |================= | 24% | |================= | 25% | |================== | 25% | |======================================================================| 100%
faithful.boot
------------------------------------------------------------- Bootstrap sequential LRT for the number of mixture components ------------------------------------------------------------- Model = VVV Replications = 999 LRTS bootstrap p-value 1 vs 2 319.065354 0.001 2 vs 3 6.130516 0.564
plot(faithful.boot, G = 1)
plot(faithful.boot, G = 2)
## End(No test)