Tools for Experimental Design Sizing

Documentation for package ‘trialSizing’ version 0.1.0

calc_cv_shapes	CV by plot shape from a uniformity-trial grid
calc_paranaiba	Optimal plot size by the Paranaiba method
calc_replicates	Estimate the optimal number of replications
check_trial	Check a uniformity trial before sizing plots
compare_methods	Compare the plot-size methods on the same trial
fit_lrp	Fit the Linear Response Plateau (LRP) model by grid search
fit_mcm	Fit the Modified Maximum Curvature (MCM) plot-size model
fit_qrp	Fit the Quadratic Response Plateau (QRP) model by grid search
plot.lrp_fit	Plot an LRP fit (publication style)
plot.lrp_multi	Plot LRP fits for several trials (paginated grid)
plot.mcm_fit	Plot an MCM fit (publication style)
plot.mcm_multi	Plot MCM fits for several trials (paginated grid)
plot.paranaiba_fit	Plot Paranaiba estimates by trial
plot.qrp_fit	Plot a QRP fit (publication style)
plot.qrp_multi	Plot QRP fits for several trials (paginated grid)
plot.replicates_fit	Plot the number of replications
plot.trial_check	Field map of a checked uniformity trial
predict.lrp_fit	Predictions from an LRP fit
predict.mcm_fit	Predictions from an MCM fit
predict.qrp_fit	Predictions from a QRP fit
print.lrp_fit	Print an LRP fit
print.lrp_multi	Print LRP fits for several trials
print.method_comparison	Print a method comparison
print.trial_check	Print a trial check
summary.lrp_fit	Summarize an LRP fit
summary.lrp_multi	Summarize LRP fits for several trials
summary.method_comparison	Summarize a method comparison
summary.trial_check	Summarize a trial check
uniformity_trial	Simulated uniformity trial