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    We created R software for life table analysis to assess nonlethal treatment effects on arthropod populations. This tool simplifies complex statistical inference for fertility life table parameters, aiding ecological research.

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    Area of Science:

    • Ecology
    • Arthropod Population Dynamics
    • Computational Biology

    Background:

    • Quantifying chronic nonlethal effects of treatments on arthropod populations requires summarizing survival and fertility data.
    • Statistical inference for fertility life table parameters is complex, often necessitating computationally intensive variance estimation methods.
    • Existing software may lack advanced analytical capabilities or user accessibility.

    Purpose of the Study:

    • To develop an accessible, open-source R program for comprehensive life table analysis.
    • To facilitate the quantification of chronic nonlethal effects on arthropod populations.
    • To implement advanced statistical methods for inferring fertility life table parameters.

    Main Methods:

    • Development of a computer program in R for life table analysis.
    • Incorporation of multiple comparison tests for qualitative factors.
    • Implementation of a regression analysis module for quantitative factors (e.g., temperature, agrochemical doses).
    • Utilized computationally intensive methods for variance estimation in statistical inference.

    Main Results:

    • The R program, 'lifetable.R', offers advantages over previous software (e.g., SAS).
    • The program successfully analyzed the influence of a proteinase inhibitor on *Thyrinteina arnobia*.
    • The program effectively assessed the impact of temperature on the demographic parameters of *Hippodamia variegata*.

    Conclusions:

    • The developed R program provides a powerful and accessible tool for life table analysis in ecology.
    • It enables robust quantification and statistical inference of treatment effects on arthropod population parameters.
    • The software's open-source nature ensures broad availability and utility for researchers.