2-Stage Preference Trial Design and Analysis
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Documentation for package ‘preference’ version 1.1.6
Help Pages
| preference-package | Design and Analysis of Two-stage Randomized Clinical Trials |
| effects_from_means | Calculate Effect Sizes from Means |
| effect_size | Preference trial parameter accessors |
| effect_size.preference.trial | Preference trial parameter accessors |
| fit_preference | Fit the Preference Data Collected from a Two-stage Clinical Trial |
| fit_preference_summary | Fit Preference Model from Summary Data |
| imap | Data from the IMAP study |
| imap_stratified_summary | Data from the IMAP study |
| imap_summary | Data from the IMAP study |
| optimal_proportion | Unstratified Optimized Theta |
| overall_power_binom | Power Calculation from Sample Size |
| overall_sample_size_bin | Overall Sample Size Binomial |
| overall_sample_size_pois | Overall Sample Size Poisson Distribution |
| plot.preference.trial | Plot the effect sizes of a preference trial |
| power | Preference trial parameter accessors |
| power.preference.trial | Preference trial parameter accessors |
| preference | Fit Preference Data Collected from a Two-stage Clinical Trial |
| preference.trial | Create a Preference Trial |
| proportion | Preference trial parameter accessors |
| proportion.preference.trial | Preference trial parameter accessors |
| pt_from_power | Design Preference Trials with Power Constraint(s) |
| pt_from_ss | Design Preference Trials with Sample Size Constraint(s) |
| pwr_overall_pois | Power Calculation from Sample Size |
| sample_size | Preference trial parameter accessors |
| sample_size.preference.trial | Preference trial parameter accessors |
| sigma2 | Preference trial parameter accessors |
| sigma2.preference.trial | Preference trial parameter accessors |
| significance | Preference trial parameter accessors |
| significance.preference.trial | Preference trial parameter accessors |
| treatment_effect_size | Treatment Effect Back Calculation |