Description Usage Arguments Value Examples
Bootstrap a reconstructed progression model. For details and examples regarding the statistical assesment of an inferred model, we refer to the Vignette Section 7.
1 2 3 4 5 6 7 | tronco.bootstrap(
reconstruction,
type = "non-parametric",
nboot = 100,
cores.ratio = 1,
silent = FALSE
)
|
reconstruction |
The output of tronco.capri or tronco.caprese |
type |
Parameter to define the type of sampling to be performed, e.g., non-parametric for uniform sampling. |
nboot |
Number of bootstrap sampling to be performed when estimating the model confidence. |
cores.ratio |
Percentage of cores to use coresRate * (numCores - 1) |
silent |
A parameter to disable/enable verbose messages. |
A TRONCO compliant object with reconstructed model
1 2 | data(test_model)
boot = tronco.bootstrap(test_model, nboot = 1, cores.ratio = 0)
|
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