[Gsdesign-commits] r156 - pkg/man

[noreply at r-forge.r-project.org]

Author: keaven
Date: 2009-05-22 23:17:25 +0200 (Fri, 22 May 2009)
New Revision: 156

Modified:
   pkg/man/gsDesign-package.Rd
   pkg/man/gsbound.Rd
Log:
Minor edits

Modified: pkg/man/gsDesign-package.Rd
===================================================================
--- pkg/man/gsDesign-package.Rd	2009-05-22 21:16:01 UTC (rev 155)
+++ pkg/man/gsDesign-package.Rd	2009-05-22 21:17:25 UTC (rev 156)
@@ -21,10 +21,12 @@
 plot.gsDesign           2.3: Plots for group sequential designs
 gsCP                    2.4: Conditional Power Computation
 gsBoundCP               2.5: Conditional Power at Interim Boundaries
+gsbound                 2.6: Boundary derivation - low level
 normalGrid              3.1: Normal Density Grid
-MandNtest               3.2: Two-sample binomial sample size
+binomial                3.2: Testing, Confidence Intervals and Sample Size
+                             for Comparing Two Binomial Rates
 Survival sample size    3.3: Time-to-event sample size calculation
-                        (Lachin-Foulkes)
+                             (Lachin-Foulkes)
 Spending function overview      4.0: Spending functions
 sfHSD                   4.1: Hwang-Shih-DeCani Spending Function
 sfPower                 4.2: Kim-DeMets (power) Spending Function
@@ -34,6 +36,7 @@
 sfLogistic              4.6: 2-parameter Spending Function Families
 sfTDist                 4.7: t-distribution Spending Function
 Wang-Tsiatis Bounds     5.0: Wang-Tsiatis Bounds
+checkScalar             6.0: Utility functions to verify variable properties
 }
 The gsDesign package supports group sequential clinical trial design. 
 While there is a strong focus on designs using \eqn{\alpha}{alpha}- and \eqn{\beta}{beta}-spending functions, Wang-Tsiatis designs, 

Modified: pkg/man/gsbound.Rd
===================================================================
--- pkg/man/gsbound.Rd	2009-05-22 21:16:01 UTC (rev 155)
+++ pkg/man/gsbound.Rd	2009-05-22 21:17:25 UTC (rev 156)
@@ -2,7 +2,7 @@
 \alias{gsBound}
 \alias{gsBound1}
 
-\title{2.6 Boundary derivation - low level}
+\title{2.6: Boundary derivation - low level}
 \description{\code{gsBound()} and \code{gsBound1()} are lower-level functions used to find boundaries for a group sequential design.
 They are not recommended (especially \code{gsBound1()}) for casual users.
 These functions do not adjust sample size as \code{gsDesign()} does to ensure appropriate power for a design.