agriReg: Linear and Nonlinear Regression for Agricultural Data

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>.

Version:	0.1.0
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
Published:	2026-03-31
DOI:	10.32614/CRAN.package.agriReg
Author:	Sadikul Islam [aut, cre]
Maintainer:	Sadikul Islam <sadikul.islamiasri at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
CRAN checks:	agriReg results

Documentation:

Reference manual:	agriReg.html , agriReg.pdf
Vignettes:	Advanced: Mixed models and multi-environment trials (source, R code) Getting started with agriReg (source, R code)

Downloads:

Package source:	agriReg_0.1.0.tar.gz
Windows binaries:	r-devel: agriReg_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): agriReg_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): agriReg_0.1.0.tgz, r-oldrel (x86_64): agriReg_0.1.0.tgz

Linking:

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