# Tools for Experimental Design Sizing

## Documentation for package ‘trialSizing’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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