Man pages for kaneplusplus/curtail
One and Two Stage Curtailed Trial Design
| cdsnb_stacked | The Conditional Stopped Negative Binomial Density |
| curtail | Design of One- and Two-Stage Clinical Trials with Curtailed... |
| dsnb_plot | The Stopped Negative Binomial P.M.F. Plot |
| dsnb_stacked | Stack the Stopped Negative Binomial distribution by... |
| dsnb_stack_plot | The Stopped Negative Binomial P.M.F. Stack-Plot |
| ecsnb | Expected Value of the Conditional SNB Distribution |
| esnb | Expected Value of the SNB Distribution |
| expected_sample_size | Expected sample size under the null hypothesis for a... |
| expected_sample_size_alt | Expected sample size under the alternative hypothesis for a... |
| expected_sample_size_alt_internal.two_stage_curtail_trial | Internal Function |
| expected_sample_size_internal.two_stage_curtail_trial | Internal function |
| flips_to_zplot_df | Format a data.frame for plotting by the zplot function |
| is.wholenumber | Test for integer |
| kplot | The K-Plot for the Stopped Negative Binomial Process |
| minimax_design | Find the minimax design |
| minimax_probability | Minimax probability for a two-stage curtail trial |
| minimax_probability_internal.two_stage_curtail_trial | Internal Function |
| optimal_design | Find the optimal design |
| PET | Probability of early termination for a two-stage curtail... |
| ph2snb | Stopped negative binomial distribution mass function |
| ph2tnb | Truncated negative binomial distribution mass function |
| power | Power of a two-stage curtail trial |
| power_internal.two_stage_curtail_trial | Internal function |
| significance | Significance of a two-stage curtail trial |
| significance_internal.two_stage_curtail_trial | Internal function |
| single_stage_curtail_trial | Create a single-stage curtailed trial design |
| snb | The Stopped Negative Binomial Distribution |
| stacked_plot | The Stacked Plot of the Stopped Negative Binomial... |
| stage1_sample_size | Expected stage 1 sample size under the null hypothesis for a... |
| stage1_sample_size_internal.two_stage_curtail_trial | Internal function |
| two_stage_critical_values | For the two-stage design: Finds r1, the minimum number of... |
| two_stage_curtail_trial | Create a two stage curtailed trial design |
| two_stage_curtail_trial-ANY-ANY-ANY-ANY-ANY-ANY-ANY-ANY-ANY-ANY-ANY-method | Create a two_stage_curtail_trial Case 6: Anything else |
| two_stage_curtail_trial-numeric-numeric-numeric-numeric-missing-missing-numeric-missing-missing-missing-numeric-method | Create a two_stage_curtail_trial Case 4b: User inputs p,... |
| two_stage_curtail_trial-numeric-numeric-numeric-numeric-missing-missing-numeric-missing-missing-numeric-missing-method | Create a two_stage_curtail_trial Case 4a: User inputs p,... |
| two_stage_curtail_trial-numeric-numeric-numeric-numeric-numeric-numeric-missing-missing-missing-missing-numeric-method | Create a two_stage_curtail_trial Case 3b: User inputs p, n,... |
| two_stage_curtail_trial-numeric-numeric-numeric-numeric-numeric-numeric-missing-missing-missing-numeric-missing-method | Create a two_stage_curtail_trial Case 3a: User inputs p, n,... |
| two_stage_curtail_trial-numeric-numeric-numeric-numeric-numeric-numeric-missing-numeric-numeric-missing-missing-method | Case 1 - User inputs p, n, and r trial <-... |
| vcsnb | Variance of the Conditional SNB Distribution |
| vsnb | Variance of the SNB Distribution |
| zplot | The Z-Plot for the Stopped Negative Binomial Process |
