Sequential Analysis of Biological Population Sizes

In population management, data come at more or less regular intervals over time in sampling batches (bouts) and decisions should be made with the minimum number of samples and as quickly as possible. This package provides tools to implement, produce charts with stop lines, summarize results and assess sequential analyses that test hypotheses about population sizes. Two approaches are included: the sequential test of Bayesian posterior probabilities (Rincon, D.F. et al. 2025 ), and the sequential probability ratio test (Wald, A. 1945 < http://www.jstor.org/stable/2235829>).

sequential.pops: Sequential analysis of biological populations sizes

Tools to test sequentially hypotheses about population sizes. Two approaches are included.

1. The sequential test of Bayesian posterior probabilities (Rincon, D.F., McCabe, I. & Crowder, D.W. 2025): This test is based on a sequence of conditional probabilities obtained from the data and can can explicitly consider simple or composite hypotheses about static or dynamic population densities and process either purely sequential (one-at-a-time) or group sequential data.
2. The sequential probability ratio test (Wald, A. 1945): This test is based on probability ratios obtained from the likelihood of the data for two contrasted (non-complementary) hypotheses.

This package includes tools to run and evaluate sequential tests, produce charts with stop lines, and summarize results.