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: 2026-10-21 08:20:42 UTC; root
Author: Sadikul Islam [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-2924-7122>)
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://sadikulislamiasri-hub.r-universe.dev
Date/Publication: 2026-03-31 15:40:35 UTC
RemoteUrl: https://github.com/cran/agriReg
RemoteRef: HEAD
RemoteSha: d86450b33c737e87ed7e4c3176711e39aeb13c51