CatchAll
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Application data |
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| Created by | John Bunge |
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| Biological application domain(s) | Population genetics, Metagenomics |
| Created at | Cornell University |
| Maintained? | Yes |
Summary: Estimate ecological diversity with both parametric and non-parametric estimators.
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Description
CatchAll is a fast, easy-to-use, platform independent software package which applies optimized numerical searching to compute maximum likelihood estimates for finite-mixture models; linear regression-based models with non-diagonal weight matrices; as well as all existing simple nonparametric methods; while accounting for outlier detection/deletion and other data-analytic considerations. Given sample “frequency count” data, CatchAll computes 12 different diversity estimates and compares the results via a model-selection algorithm, providing the user with a best overall choice, along with close competitors. It is accompanied by an Excel-based graphical display spreadsheet program.
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