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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Insect Ecology Data Analysis Toolkit</dc:title>
  <dc:title>R package insectecol version 1.1.2</dc:title>
  <dc:description>A collection of analytical tools for insect ecology research,
    currently covering age-stage, two-sex life table analysis,
    dose-response bioassays, temperature-dependent development and insect
    phenology prediction. The life table module follows the age-stage,
    two-sex life table theory of Chi (1988) &lt;doi:10.1093/ee/17.1.26&gt; and
    Chi et al. (2020) &lt;doi:10.1127/entomologia/2020/0936&gt;. It supports
    fast batch processing of multi-group datasets, validates raw 'csv'
    data, computes cohort size, mean fecundity, age-stage survival rates,
    age-specific survival, age-specific fecundity, life expectancy, and
    derived population parameters (net reproductive rate, intrinsic and
    finite rates of increase, mean generation time), simultaneously
    generates age-stage survival curves for all groups, and exports all
    tabular results and plots to 'Excel' in a single run. The bioassay
    module estimates lethal concentrations by the traditional and the
    weighted (improved) linear regression methods and by probit analysis
    (Bliss, 1934) &lt;doi:10.1126/science.79.2037.38&gt;, with the
    control-mortality correction of Abbott (1925)
    &lt;doi:10.1093/jee/18.2.265a&gt;, 95% confidence intervals and chi-square
    goodness-of-fit tests; the lethal proportion can be set freely (e.g.,
    25%, 50%, 70% or 90%), so any LC value such as the LC25, LC70 or LC90
    can be computed, not only the LC50. The regression plots and tables
    are exported to 'Excel'. The degree-day module estimates the
    developmental threshold temperature and the effective accumulated
    temperature by the linear degree-day method (Campbell et al., 1974)
    &lt;doi:10.2307/2402197&gt;, and fits the common nonlinear temperature-
    dependent development models following Logan et al. (1976)
    &lt;doi:10.1093/ee/5.6.1133&gt; (Logan-6), Lactin et al. (1995)
    &lt;doi:10.1093/ee/24.1.68&gt; and Briere et al. (1999)
    &lt;doi:10.1093/ee/28.1.22&gt;, plus a 7-parameter Wang model; it selects
    the best model by AICc, predicts durations and accumulates field
    degree-days. The emergence module applies the stage-grading method to
    a single survey of the population stage structure, i.e. to
    stage-frequency data (Kiritani and Nakasuji, 1967)
    &lt;doi:10.1007/bf02514921&gt; and Manly (1974)
    &lt;doi:10.1007/bf00345751&gt;, and projects the beginning, peak and end of
    the adult emergence period (the 16%, 50% and 84% quantiles),
    optionally shifting the eclosion dates by the pre-oviposition period
    and the egg duration to forecast larval hatch. Further extensions,
    such as median lethal temperature/time (LT50), are planned.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: dplyr, ggplot2 (&gt;= 3.5.0), grid, magrittr, openxlsx, ragg,
scales, sysfonts, systemfonts, readr, showtext, tidyr, utils</dc:relation>
  <dc:relation>Suggests: readxl, testthat (&gt;= 3.0.0), writexl</dc:relation>
  <dc:creator>Wangyao Li &lt;1561941342@qq.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wangyao Li [aut, cre, cph],
  Yongsheng Zhang [aut],
  Huan Yu [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=insectecol/LICENSE)</dc:rights>
  <dc:date>2026-10-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=insectecol</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.insectecol</dc:identifier>
</oai_dc:dc>
