seqBound

Sequential upper bounds for cumulative Z-test on accumaltive data. Z values are correlated. This is usually used for group sequential design.

group sequential design

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

seqBound function

<dl> <dt>ti</dt>
<dd>times for test. These should be [0, 1].</dd> <dt>alpha</dt>
<dd>goal alpha value for the last test at time 0.</dd> <dt>side</dt>
<dd>1=one-side test, 2=two-side test</dd> <dt>t2</dt>
<dd>fractions of information amount. These should be [0, 1]. If not available, ti will be used instead.</dd> <dt>asf</dt>
<dd>alpha spending function. 1=O'Brien-Flemming type (approximate not the exact), 2=Pocock type (approximate not the exact), 3=alpha*ti, 4=alpha*ti^1.5, 5=alpha*ti^2</dd></dl>

Arguments

Author

Sequential bounds for cumulative Z-test in Group Sequential Design — seqBound

<dl>

 <dt>ti</dt>
<dd>times for test. These should be [0, 1].</dd>

 <dt>alpha</dt>
<dd>goal alpha value for the last test at time 0.</dd>

 <dt>side</dt>
<dd>1=one-side test, 2=two-side test</dd>

 <dt>t2</dt>
<dd>fractions of information amount. These should be [0, 1]. If not available, ti will be used instead.</dd>

 <dt>asf</dt>
<dd>alpha spending function. 1=O'Brien-Flemming type (approximate not the exact), 2=Pocock type (approximate not the exact), 3=alpha*ti, 4=alpha*ti^1.5, 5=alpha*ti^2</dd>

</dl>

seqBound: Sequential bounds for cumulative Z-test in Group Sequential Design

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples