[Rsiena-commits] r182 - in pkg: RSiena RSiena/R RSiena/inst/doc RSiena/man RSiena/src RSienaTest RSienaTest/R RSienaTest/doc RSienaTest/inst/doc RSienaTest/man RSienaTest/src

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Fri Nov 11 13:26:46 CET 2011 

Author: ripleyrm
Date: 2011-11-11 13:26:45 +0100 (Fri, 11 Nov 2011)
New Revision: 182

Modified:
   pkg/RSiena/DESCRIPTION
   pkg/RSiena/R/bayes.r
   pkg/RSiena/R/sienaTimeTest.r
   pkg/RSiena/changeLog
   pkg/RSiena/inst/doc/RSiena_Manual.pdf
   pkg/RSiena/man/RSiena-package.Rd
   pkg/RSiena/src/siena07models.cpp
   pkg/RSienaTest/DESCRIPTION
   pkg/RSienaTest/R/bayes.r
   pkg/RSienaTest/R/sienaTimeTest.r
   pkg/RSienaTest/changeLog
   pkg/RSienaTest/doc/RSiena_Manual.tex
   pkg/RSienaTest/inst/doc/RSiena_Manual.pdf
   pkg/RSienaTest/man/RSiena-package.Rd
   pkg/RSienaTest/src/siena07models.cpp
Log:
Bug fixes for sienaTimeFix and bayes

Modified: pkg/RSiena/DESCRIPTION
===================================================================
--- pkg/RSiena/DESCRIPTION	2011-11-04 17:30:56 UTC (rev 181)
+++ pkg/RSiena/DESCRIPTION	2011-11-11 12:26:45 UTC (rev 182)
@@ -1,8 +1,8 @@
 Package: RSiena
 Type: Package
 Title: Siena - Simulation Investigation for Empirical Network Analysis
-Version: 1.0.12.181
-Date: 2011-11-04
+Version: 1.0.12.182
+Date: 2011-11-11
 Author: Various
 Depends: R (>= 2.10.0)
 Imports: Matrix

Modified: pkg/RSiena/R/bayes.r
===================================================================
--- pkg/RSiena/R/bayes.r	2011-11-04 17:30:56 UTC (rev 181)
+++ pkg/RSiena/R/bayes.r	2011-11-11 12:26:45 UTC (rev 182)
@@ -22,9 +22,12 @@
         z$posteriorMII <- array(0, dim=c(z$nGroup, npar, npar))
         z$candidates <- array(NA, dim=c(numberRows, z$nGroup, npar))
         z$acceptances <- matrix(NA, nrow=z$nGroup, ncol=numberRows)
-        z$MHacceptances <- array(NA, dim=c(numberRows, z$nGroup, 9))
-        z$MHrejections <- array(NA, dim=c(numberRows, z$nGroup, 9))
-        z$MHproportions <- array(NA, dim=c(numberRows, z$nGroup, 9))
+        z$MHacceptances <- array(NA, dim=c(numberRows, z$nGroup,
+									 z$nDependentVariables, 9))
+        z$MHrejections <- array(NA, dim=c(numberRows, z$nGroup,
+									 z$nDependentVariables, 9))
+        z$MHproportions <- array(NA, dim=c(numberRows, z$nGroup,
+									 z$nDependentVariables, 9))
         z
     }
     ##@storeData internal bayes Bayesian put data in stores
@@ -45,9 +48,9 @@
                     outer(z$parameters[i, group, ], z$parameters[i, group,])
             }
         }
-        z$MHacceptances[start:end, , ] <- z$MHaccepts
-        z$MHrejections[start:end, , ] <- z$MHrejects
-        z$MHproportions[start:end, , ] <- z$MHaccepts /
+        z$MHacceptances[start:end, , , ] <- z$MHaccepts
+        z$MHrejections[start:end, , , ] <- z$MHrejects
+        z$MHproportions[start:end, , , ] <- z$MHaccepts /
             (z$MHaccepts + z$MHrejects)
         z$sub <- z$sub + nrun
         z
@@ -261,9 +264,12 @@
 {
     z$accepts <- matrix(NA, nrow=z$nGroup, nrunMHBatches)
     z$parameters <- array(NA, dim=c(nrunMHBatches, z$nGroup, z$pp))
-    z$MHaccepts <- array(NA, dim=c(nrunMHBatches, z$nGroup, 9))
-    z$MHrejects <- array(NA, dim=c(nrunMHBatches, z$nGroup, 9))
-    z$MHaborts <- array(NA, dim=c(nrunMHBatches, z$nGroup, 9))
+    z$MHaccepts <- array(NA, dim=c(nrunMHBatches, z$nGroup,
+		z$nDependentVariables, 9))
+    z$MHrejects <- array(NA, dim=c(nrunMHBatches, z$nGroup,
+							 z$nDependentVariables, 9))
+    z$MHaborts <- array(NA, dim=c(nrunMHBatches, z$nGroup,
+							z$nDependentVariables, 9))
     storeNrunMH <- z$nrunMH
     z$nrunMH <- nrunMH
     for (i in 1:nrunMHBatches)
@@ -273,14 +279,14 @@
         z <- sampleParameters(z, change)
         z$accepts[, i] <- z$accept
         z$parameters[i, , ] <- z$thetaMat
-        z$MHaccepts[i, ,] <-
+        z$MHaccepts[i, , , ] <-
             t(do.call(cbind,
                       tapply(ans$accepts, factor(z$callGrid[, 1]),
                              function(x)Reduce("+", x))))
-        z$MHrejects[i, , ] <-
+        z$MHrejects[i, , , ] <-
             t(do.call(cbind, tapply(ans$rejects, factor(z$callGrid[, 1]),
                                     function(x)Reduce("+", x))))
-        z$MHaborts[i, , ] <- t(do.call(cbind,
+        z$MHaborts[i, , , ] <- t(do.call(cbind,
                                        tapply(ans$aborts,
                                               factor(z$callGrid[, 1]),
                                               function(x)Reduce("+", x))))
@@ -441,16 +447,16 @@
 {
     ## do n MLmodelsteps with the initial thetas and get
     ## derivs
-    z$sdf <- array(0, dim=c(n, z$pp, z$pp))
+    z$sdf <- vector("list", n)
     z$ssc <- matrix(0, nrow=n, ncol=z$pp)
     z$Deriv <- TRUE
     for (i in 1:n)
     {
         ans <- z$FRAN(z)
-        z$sdf[i, , ] <- ans$dff
+        z$sdf[[i]] <- ans$dff
         z$ssc[i,  ] <- colSums(ans$fra)
     }
-    dfra <- t(apply(z$sdf, c(2, 3), mean))
+    dfra <- t(as.matrix(Reduce("+", z$sdf))) / length(z$sdf)
     ssc <- colMeans(z$ssc)
     z$dfra <- dfra
     lambda <- z$theta[z$basicRate]

Modified: pkg/RSiena/R/sienaTimeTest.r
===================================================================
--- pkg/RSiena/R/sienaTimeTest.r	2011-11-04 17:30:56 UTC (rev 181)
+++ pkg/RSiena/R/sienaTimeTest.r	2011-11-11 12:26:45 UTC (rev 182)
@@ -697,9 +697,9 @@
                         if (ii != dataSub)
                         {
                             nActors <-
-                                length(data[[dataSub]]$nodeSets[[nodeSet]])
+                                length(data[[ii]]$nodeSets[[nodeSet]])
                             nPer <-
-                                attr(data[[dataSub]]$depvars[[effect$name]],
+                                attr(data[[ii]]$depvars[[effect$name]],
                                      "netdims")[3]
                             base <- matrix(0, nrow=nActors, ncol=nPer - 1)
                             data <- addVarCovar(data, base, nodeSet, dname, ii)
@@ -760,10 +760,10 @@
                     {
                         if ( i != dataSub)
                         {
-                            dims <- attr(data[[dataSub]]$depvars[[depvar]],
+                            dims <- attr(data[[i]]$depvars[[depvar]],
                                          "netdims")
                             nodeSet <-
-                                attr(data[[dataSub]]$depvars[[depvar]],
+                                attr(data[[i]]$depvars[[depvar]],
                                      "nodeSet")[1]
                             nActors <- dims[1]
                             nPer <- dims[3]

Modified: pkg/RSiena/changeLog
===================================================================
--- pkg/RSiena/changeLog	2011-11-04 17:30:56 UTC (rev 181)
+++ pkg/RSiena/changeLog	2011-11-11 12:26:45 UTC (rev 182)
@@ -1,3 +1,10 @@
+2011-11-11 R-forge revision 182.
+
+	* R/bayes.r, src/siena07models.cpp:correct return of acceptances
+	etc. and new format of dff
+	* R/sienaTimeTest.r: fix bug with multi groups and differing actor
+	set sizes.
+
 2011-11-04 R-forge revision 181.
 
 	* src/data/BehaviorLongitudinalData.cpp,

Modified: pkg/RSiena/inst/doc/RSiena_Manual.pdf
===================================================================
--- pkg/RSiena/inst/doc/RSiena_Manual.pdf	2011-11-04 17:30:56 UTC (rev 181)
+++ pkg/RSiena/inst/doc/RSiena_Manual.pdf	2011-11-11 12:26:45 UTC (rev 182)
@@ -44,12 +44,16 @@
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[TRUNCATED]

To get the complete diff run:
    svnlook diff /svnroot/rsiena -r 182

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