Linear and Nonlinear Regression for Agricultural Data

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Documentation for package ‘agriReg’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

agriReg-package	agriReg: Linear and Nonlinear Regression for Agricultural Data
agriReg	agriReg: Linear and Nonlinear Regression for Agricultural Data
clean_agri_data	Clean and validate agricultural field-trial data
compare_models	Compare multiple agriReg models side by side
ed_estimates	Compute effective dose (ED) estimates from a dose-response model
fit_dose_response	Fit a log-logistic or Weibull dose-response model
fit_linear	Fit a linear or mixed-effects model for agricultural trials
fit_nonlinear	Fit a nonlinear growth or response curve to agricultural data
fit_polynomial	Fit a sequence of polynomial linear models and pick the best
gof_stats	Compute goodness-of-fit statistics for a model
herbicide_trial	Simulated herbicide dose-response dataset
load_example_data	Load a bundled agriReg example dataset
maize_growth	Simulated maize growth time-series
model_summary	Comprehensive model summary with fit statistics
optimum_dose	Find the optimal x value (e.g. economic optimum dose)
outlier_flag	Flag outliers using multiple methods
plot.agriDRC	Plot a fitted dose-response curve
plot.agriLM	Plot diagnostics for an agriLM model
plot.agriNLS	Plot a fitted nonlinear curve over observed data
plot_fit	A convenience wrapper for ggplot2 visualisation of model fit
residual_check	Residual diagnostic plot panel
wheat_trial	Simulated wheat nitrogen-response trial
yield_normalize	Normalise yield values within groups