clean

examples/ocPredprobDist.R

@@ -10,7 +10,7 @@
 # - Interim look for Efficacy:
 #   Pr( success at final ) > 80% or P(success at final) > phiU
 # - Interim look for Futility:
-#   Pr( failure at final ) < 20% or P(success at final) < phiL
+#   Pr( success at final ) < 20% or P(success at final) < phiL
 # We assume a prior of treatment arm parE = Beta(1,1), unless otherwise indicated.
 
 set.seed(20)
@@ -41,10 +41,14 @@ result$oc
 # Desired difference to Standard of Care for Efficacy and Futility is 10% and -10% respectively.
 # Grey zone occurs due to different posterior probability distribution in the Efficacy and Futility rules.
 # Delta calculation is absolute case. The following are the Final Stop rules respectively :
-# - Final look for Efficacy: Pr( response rate + deltaE > 25% ) > 60% or P(response rate + deltaE > p0) > tT
-# - Final look for Futility: Pr( response rate + deltaF < 25% ) < 60% or P(response rate + deltaF > p0) < tT
-# - Interim look for Efficacy: Pr( success at final ) > 80% or P(success at final) > phiU
-# - Interim look for Futility: Pr( failure at final ) < 20% or P(success at final) < phiL
+# - Final look for Efficacy: Pr( response rate + deltaE > 25% ) > 60% or
+#                            P(response rate + deltaE > p0) > tT
+# - Final look for Futility: Pr( response rate + deltaF < 25% ) < 60% or
+#                            P(response rate + deltaF > p0) < tT
+# - Interim look for Efficacy: Pr( success at final ) > 80% or
+#                            P(success at final) > phiU
+# - Interim look for Futility: Pr( failure at final ) < 20% or
+#                           P(success at final) < phiL
 # We assume a prior of treatment arm parE = Beta(1,1), unless otherwise indicated.
 #
 set.seed(20)
@@ -111,10 +115,10 @@ result$oc
 # True response rate or truep of the treatment group = 40%
 # Desired difference to Standard of Care for Efficacy and Futility = 50%
 # Delta calculation is relative case. The following are the Final Stop rules respectively :
-# - Final look for Efficacy: P( P_S + (1-P_S)*deltaE > 25% ) > 60% or P( P_S + (1-P_S)*deltaE > p0) > tT
-# - Final look for Futility: P( P_S + (1-P_S)*deltaEF < 25% ) < 60% or P( P_S + (1-P_S)*deltaF > p0) < tT
-# - Interim look for Efficacy: P( success at final ) > 80% or P(success at final) > phiU
-# - Interim look for Futility: P( failure at final ) < 20% or P(success at final) < phiL
+# - Final look for Efficacy: P( P_S + (1-P_S)*deltaE > 25% ) > 60%
+# - Final look for Futility: P( P_S + (1-P_S)*deltaEF < 25% ) < 60%
+# - Interim look for Efficacy: P( success at final ) > 80%
+# - Interim look for Futility: P( failure at final ) < 20%
 # We assume a prior of treatment arm parE = Beta(1,1), unless otherwise indicated.
 
 set.seed(20)

examples/plotBounds.R

@@ -1,9 +1 @@
 # examples
-plotBounds(boundsPredprob(
-  nvec = c(10, 20, 30, 40), p = 0.20, tT = 0.80,
-  phiL = 0.10, phiU = 0.90, a = 1, b = 1
-), yt = "x")
-plotBounds(boundsPredprob(
-  nvec = c(10, 20, 30, 40), p = 0.20, tT = 0.80,
-  phiL = 0.10, phiU = 0.90, a = 1, b = 1
-), yt = "p")