INTRODUCTION TO PACKAGE LEFKO3 | BASIC CONCEPTS | Life history models and projection matrices | Ahistorical vs. historical matrix models | Raw vs. function-based matrix models, including integral projection models | Different parameterizations of the historical MPM | Leslie (age-classified) MPMs | Age-by-stage MPMs | WORKFLOW | Step 1: Life history model development | Step 2a: Dataset organization | Step 2b: Provide supplemental information for matrix estimation | Step 3: Assess whether historical MPM is justified, and develop models of demographic parameters | Step 4: Estimate matrices | Step 4a. Importing matrices and IPMs | Step 4b. Edit matrices | Step 5. MPM analyses | Deterministic vs. stochastic analysis | Density independent vs. density dependent analysis | Population growth rate | Stable stage distribution and reproductive value | Sensitivity and elasticity | Life table response experiments (LTREs) | Custom projections | Further analyses | Acknowledgements | Literature cited

ORGANISM AND POPULATION | BASIC WORKFLOW | Step 1. Life history model development | Step 2a. Data standardization | Step 2b. Vertical dataset standardization | Step 2c. Provide supplemental information for matrix estimation | Step 3. Tests of history, and vital rate modeling | Step 3a. General modeling strategy | Step 3b. Size and fecundity distributions | Step 3c. Model building and selection | Step 4. MPM estimation | Step 5. MPM analysis | Acknowledgements | Literature cited

ORGANISM AND POPULATION | BASIC WORKFLOW | Step 1. Life history model development | Step 2a. Data standardization | Step 2b. Provide supplemental information for matrix estimation | Step 3. Tests of history, and vital rate modeling | Step 4. MPM estimation | Step 5. MPM analysis | Acknowledgements | Literature cited

ORGANISM AND POPULATION | BASIC WORKFLOW | Step 1. Life history model development | Step 2a. Dataset standardization | Step 2b: Develop supplemental information for matrix estimation | Step 3. Tests of history, and vital rate modeling | Step 4. IPM estimation | Step 5. MPM analysis | Acknowledgements | Literature cited

ORGANISM AND POPULATION | BASIC WORKFLOW | Step 1. Life history model development | Step 2a. Data standardization | Step 2b. Provide supplemental information for matrix estimation | Step 3. Tests of history | Step 4. MPM estimation | Step 5. MPM analysis | Acknowledgements | Literature cited

ORGANISM AND POPULATIONS | BASIC WORKFLOW | Step 1. Life history model development | Step 3. MPM analysis | Highest stochastic mean LTRE contribution: | Highest stochastic mean LTRE contribution is associated with element: | Lowest stochastic mean LTRE contribution: | Lowest stochastic mean LTRE contribution is associated with element: | Highest stochastic SD LTRE contribution: | Highest stochastic SD LTRE contribution is associated with element: | Lowest stochastic SD LTRE contribution: | Lowest stochastic SD LTRE contribution is associated with element: | Total positive deterministic LTRE contributions: | Total negative deterministic LTRE contributions: | Total positive stochastic mean LTRE contributions: | Total negative stochastic mean LTRE contributions: | Total positive stochastic SD LTRE contributions: | Total negative stochastic SD LTRE contributions:

Organism and population | Dataset preparation | Pairwise invasibility analysis focused on matrix element manipulation | Pairwise invasibility analysis focused on vital rate model manipulation | Acknowledgements | Literature cited

Organisms and populations | Dataset preparation | Community projection with pre-existing MPMs | Acknowledgements | Literature cited