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 |