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@melbourne-lab

Melbourne Lab

Ecology, Mathematics, Data Science

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  1. ml4e-nutshellml4e-nutshellPublic

    Machine learning for ecology in a nutshell

    R 1 1

  2. evo_rescue_ndd_erosionevo_rescue_ndd_erosionPublic

    Evolutionary rescue, density dependence, genetic erosion, and the extinction vortex.

    R 3 2

  3. stochastic-rickerstochastic-rickerPublic

    Stochastic Ricker models simulated and fitted to data. Melbourne & Hastings (2008) Nature 454:100–103.

    R 1

  4. SSAplusSSAplusPublic

    Forked from legault/SSAplus

    Stochastic simulation algorithm (non-homogeneous). Files for paper

    R

  5. Range_expansion_competitionRange_expansion_competitionPublic

    Forked from legault/Range_expansion_competition

    Code for reproducing PNAS paper examining the effects of competition on range expansion

    R

  6. ppp-adaptationppp-adaptationPublic

    Forked from mikoontz/ppp-adaptation

    Using Tribolium flour beetles as a model system to understand how several small versus a single large introduction affects adaptation and expression of genetic load during colonization.

    R

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