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