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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "agriReg" in publications use:'
type: software
license: MIT
title: 'agriReg: Linear and Nonlinear Regression for Agricultural Data'
version: 0.1.0
doi: 10.32614/CRAN.package.agriReg
abstract: Fit, compare, and visualise linear and nonlinear regression models tailored
  to field-trial and dose-response agricultural data. Provides S3 classes for mixed-effects
  models (via 'lme4'), nonlinear growth curves (logistic, 'Gompertz', asymptotic,
  linear-plateau, quadratic), and four/five-parameter log-logistic dose-response models
  (via 'drc'). Includes automated starting-value heuristics, goodness-of-fit statistics,
  residual diagnostics, and 'ggplot2'-based visualisation. Methods are based on Bates
  and Watts (1988, ISBN:9780471816430), Ritz and others (2015) <https://doi.org/10.1371/journal.pone.0146021>,
  and Bates and others (2015) <https://doi.org/10.18637/jss.v067.i01>.
authors:
- family-names: Islam
  given-names: Sadikul
  email: sadikul.islamiasri@gmail.com
  orcid: https://orcid.org/0000-0003-2924-7122
repository: https://cran.r-universe.dev
commit: d86450b33c737e87ed7e4c3176711e39aeb13c51
date-released: '2026-03-31'
contact:
- family-names: Islam
  given-names: Sadikul
  email: sadikul.islamiasri@gmail.com
  orcid: https://orcid.org/0000-0003-2924-7122