DLMtool

The Data-Limited Methods toolkit (DLMtool) is a library of over 100 data-limited management procedures (MPs) for use in fisheries management strategy evaluation (MSE). It is part of the openMSE collection of R packages.

Key Features

• Large MP library: output control (TAC), input control (effort, size limits, spatial closures), and mixed-control MPs, ranging from simple catch-based rules to model-based estimators
• Works with MSEtool v4.0+: legacy MPs run directly against data-class objects produced by MSEtool’s current om/data simulation engine, via automatic object conversion (MSEtool::Convert())
• Works with the legacy engine: MPs remain fully compatible with the original OM/Data classes for existing workflows
• Plain R functions: every MP is a function that accepts a Data object and returns a Rec (recommendation) object, so new MPs are easy to write and test
• Diagnostic tools: functions for checking MP behaviour and data requirements before running a full MSE

Not every legacy MP maps cleanly onto the new engine: a small number rely on legacy-only Data slots (e.g., Data@Abun, Data@FMSY_M, Data@BMSY_B0) that MSEtool’s new observation model does not yet populate when converting data to Data. These MPs fail with an informative error rather than silently returning an invalid recommendation; see ?Required for each MP’s data requirements.

Installation

You can install the released version of DLMtool from CRAN with:

install.packages("DLMtool")

And the development version from GitHub with:

# install.packages("pak")
pak::pak("Blue-Matter/DLMtool")

Documentation

• openMSE.com: general information about the openMSE framework
• docs.openMSE.com: technical manual with worked examples covering operating model construction, simulation, and MSE analysis
• dlmtool.openmse.com: full function reference for DLMtool