Package: agriReg
Title: Linear and Nonlinear Regression for Agricultural Data
Version: 0.1.0
Authors@R: 
    person(
        given = "Sadikul",
        family = "Islam",
        email = "sadikul.islamiasri@gmail.com",
        role = c("aut", "cre"),
        comment = c(ORCID = "0000-0003-2924-7122")
    )
Description: 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) <doi:10.1371/journal.pone.0146021>,
    and Bates and others (2015) <doi:10.18637/jss.v067.i01>.
Depends: R (>= 4.1.0)
Imports: lme4 (>= 1.1-35), drc (>= 3.0-1), ggplot2 (>= 3.4.0),
        patchwork (>= 1.1.0), stats, utils
Suggests: broom (>= 1.0.0), broom.mixed (>= 0.2.9), emmeans (>= 1.8.0),
        nlme (>= 3.1-0), methods, testthat (>= 3.0.0), knitr,
        rmarkdown, lmerTest, car, multcomp
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-27 06:10:56 UTC; acer
Author: Sadikul Islam [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2924-7122>)
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:00:23 UTC
Built: R 4.6.0; ; 2026-05-01 02:41:24 UTC; unix
