work_test_norm_global {adpss} | R Documentation |

This function is used as a routine by `adaptive_analysis_norm_global`

and `sample_size_norm_global`

.

work_test_norm_global(overall_sig_level = 0.025, work_beta = 0.05, cond_alpha = overall_sig_level, cost_type_1_err = 0, cost_type_2_err = 0, prev_cost = 0, min_effect_size = 1, effect_size = 0, basic_schedule_num = 50, basic_schedule_power = 2, basic_schedule = 0, prior_dist = 0, prev_time = 0, time = 0, next_time = 0, stat = 0, input_check = TRUE, out_process = FALSE, simpson_div = 6, tol_boundary = 1e-08, tol_cost = 1e-08)

`overall_sig_level` |
Overall significance level in (0, 1). Default is 0.025. |

`work_beta` |
Type II error probability of the working test. Default is 0.05. |

`cond_alpha` |
Conditional Type I error probability in (0, 1). Default is 0.025. |

`cost_type_1_err` |
The loss caused by erroneously rejecting the null hypothesis. If 0 is specified, the loss leading to the working test with its Type I error probability being |

`cost_type_2_err` |
The loss caused by erroneously accepting the null hypothesis. If 0 is specified, the loss will be set to the value of the maximum of the basic analysis schedule. Default is 0. |

`prev_cost` |
The value of |

`min_effect_size` |
The minimum effect size. It should be positive. The working test will be constructed to have the power of |

`effect_size` |
The effect size for which the probability of rejecting the null hypothesis will be calculated. If |

`basic_schedule_num` |
The number of analysis of the working test. Default is 50. |

`basic_schedule_power` |
Determine the intervals between analyses. Default is 2. |

`basic_schedule` |
The basic analysis schedule arbitrarily specified by user. |

`prior_dist` |
Prior distribution for effect sizes of |

`prev_time` |
The time of the analysis just before the current analysis. Either |

`time` |
The time of the current analysis. |

`next_time` |
The time of the next analysis. Either |

`stat` |
The value of the current test statistic. The value of |

`input_check` |
Indicate whether or not the arguments input by user contain invalid values. |

`out_process` |
The values used in calculation will be output in addition to the main output. Default is FALSE. |

`simpson_div` |
The precision determining the precision of numerical integration. The default value is 6. |

`tol_boundary` |
The precision in calculation of the stopping boundary of the working test. |

`tol_cost` |
The precision in calculation of the loss, |

List of values of the parameters specified, information of the working test, and the conditional probability of rejecting the null hypothesis.

`adaptive_analysis_norm_global`

for example of this function.

[Package *adpss* version 0.1.1 Index]