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)