# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "insectecol" in publications use:' type: software license: MIT title: 'insectecol: Insect Ecology Data Analysis Toolkit' version: 1.1.2 identifiers: - type: doi value: 10.32614/CRAN.package.insectecol abstract: 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) and Chi et al. (2020) . 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) , with the control-mortality correction of Abbott (1925) , 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) , and fits the common nonlinear temperature- dependent development models following Logan et al. (1976) (Logan-6), Lactin et al. (1995) and Briere et al. (1999) , 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) and Manly (1974) , 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. authors: - family-names: Li given-names: Wangyao email: 1561941342@qq.com - family-names: Zhang given-names: Yongsheng email: yshzhang@hunau.edu.cn - family-names: Yu given-names: Huan email: huanyu@hunau.edu.cn preferred-citation: type: manual title: 'insectecol: Tools for Insect Ecology Research' authors: - family-names: Li given-names: Wangyao email: 1561941342@qq.com - family-names: Zhang given-names: Yongsheng email: yshzhang@hunau.edu.cn - family-names: Yu given-names: Huan email: huanyu@hunau.edu.cn year: '2026' notes: R package version 1.1.2 url: https://github.com/SeaGhost-0/insectecol repository: https://seaghost-0.r-universe.dev repository-code: https://github.com/SeaGhost-0/insectecol commit: 56970ac5a95c7da7c2fc29d2c399d00f0f19561b url: https://github.com/SeaGhost-0/insectecol date-released: '2026-10-08' contact: - family-names: Li given-names: Wangyao email: 1561941342@qq.com