[Gsdesign-commits] r375 - pkg/gsDesign/man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Fri Aug 22 23:41:57 CEST 2014


Author: keaven
Date: 2014-08-22 23:41:56 +0200 (Fri, 22 Aug 2014)
New Revision: 375

Modified:
   pkg/gsDesign/man/gsCP.Rd
Log:
Minor error in gsCP.rd documentation file.

Modified: pkg/gsDesign/man/gsCP.Rd
===================================================================
--- pkg/gsDesign/man/gsCP.Rd	2014-08-10 19:27:14 UTC (rev 374)
+++ pkg/gsDesign/man/gsCP.Rd	2014-08-22 21:41:56 UTC (rev 375)
@@ -8,7 +8,7 @@
 \title{2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success}
 \description{
 \code{gsCP()} computes conditional boundary crossing probabilities at future planned analyses for a given group sequential design assuming an interim z-statistic at a specified interim analysis.
-While \code{gsCP()} is designed toward computing conditional power for a variety of underlying parameter values, \code{\link{condpower}} is built to compute conditional power for a variety of interim test statistic values which is useful for sample size adaptation (see \code{\link{ssrCP}}).
+While \code{gsCP()} is designed toward computing conditional power for a variety of underlying parameter values, \code{\link{condPower}} is built to compute conditional power for a variety of interim test statistic values which is useful for sample size adaptation (see \code{\link{ssrCP}}).
 \code{gsPP()} averages conditional power across a posterior distribution to compute predictive power.
 \code{gsPI()} computes Bayesian prediction intervals for future analyses corresponding to results produced by \code{gsPP()}. 
 \code{gsPosterior()} computes the posterior density for the group sequential design parameter of interest given a prior density and an interim outcome that is exact or in an interval.



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