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Bootstrap replicates can be used to generate the CI for model predictions.
For empirical datasets collected from natural populations, bootstrap replicates can be used to approximate confidence intervals around parameter estimates [ 4], and modifications to AIC can help correct for biases in model selection [ 31].
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The results of the joint 1,000 PSA and bootstrap replicates can then be analyzed and described using simple descriptive statistics.
In case of replicates, a list of bootstrap folders can be provided for each condition (one folder per replicate, normally with an equal number of bootstrap samples) - IsoDE will automatically merge the folders for the replicates to get a combined folder per condition, then perform the analysis as in the case without replicates.
Ten thousand bootstrap replicates were performed.
One hundred bootstrap replicates were done in Paup [49] version 4.0d105.
Bootstrap replicates were performed using 1000 replicates.
Five hundred bootstrap replicates were generated.
Five bootstrap replicates were created.
100 bootstrap replicates were performed.
1000 bootstrap replicates were performed.
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