final commit for 0.3-11

Author: ecmerkle

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: blavaan
 Title: Bayesian Latent Variable Analysis
-Version: 0.3-11.688
+Version: 0.3-11
 Authors@R: c(person(given = "Edgar", family = "Merkle",
                     role = c("aut", "cre"),
                     email = "[email protected]",
@@ -30,9 +30,9 @@ Description: Fit a variety of Bayesian latent variable models, including confirm
    factor analysis, structural equation models, and latent growth curve models.
 License: GPL (>= 3)
 ByteCompile: true
-Depends: R(>= 3.5.0), methods, lavaan(>= 0.6-5), Rcpp(>= 0.12.15)
+Depends: R(>= 3.5.0), methods, lavaan(>= 0.6-5), Rcpp(>= 0.12.15), RcppParallel (>= 5.0.1)
 Imports: stats, utils, graphics, MCMCpack, coda, mnormt, nonnest2(>= 0.5-5), loo(>= 2.0), rstan(>= 2.19.2), rstantools(>= 1.5.0), bayesplot, future.apply
-LinkingTo: StanHeaders (>= 2.18.1), rstan (>= 2.19.2), BH (>= 1.69.0), Rcpp (>= 0.12.15), RcppEigen (>= 0.3.3.4.0)
+LinkingTo: StanHeaders (>= 2.18.1), rstan (>= 2.19.2), BH (>= 1.69.0), Rcpp (>= 0.12.15), RcppEigen (>= 0.3.3.4.0), RcppParallel (>= 5.0.1)
 Suggests: runjags(>= 2.0.4-2), modeest(>= 2.3.3), rjags, semTools, testthat(>= 2.0.0)
 SystemRequirements: GNU make
 NeedsCompilation: yes

NAMESPACE

@@ -83,6 +83,8 @@ importFrom("bayesplot",
 
 import(Rcpp)
 
+importFrom("RcppParallel", "CxxFlags", "RcppParallelLibs")
+
 import(rstantools)
 
 export("blavaan", "bcfa", "bsem", "bgrowth", "dpriors", "BF", "blavCompare",

NEWS

@@ -1,3 +1,17 @@
+Changes in Version 0.3-11
+    o vector values of wiggle.sd are allowed for different priors on approximate
+      equality constraints
+
+    o logical argument "prisamp" added, for sampling from a model's prior
+
+    o for target="stan", lkj prior is used for unrestricted lv correlation matrices
+
+    o default priors for conditional approaches (jags and stanclassic) revert to
+      being placed on precisions (as opposed to sd), for improvement in sampling efficiency
+
+    o bug fixes for wiggle argument, stan plot labels, 
+      stanclassic and jags equality constraints, ppmc()
+
 Changes in Version 0.3-10
     o save.lvs=TRUE works for missing data under target="stan"
 

src/stan_files/stanmarg.stan

@@ -803,7 +803,7 @@ model { // N.B.: things declared in the model block do not get saved in the outp
 generated quantities { // these matrices are saved in the output but do not figure into the likelihood
   // see https://books.google.com/books?id=9AC-s50RjacC&lpg=PP1&dq=LISREL&pg=PA34#v=onepage&q=LISREL&f=false
 
-  matrix[Ntot, save_lvs ? w9use + w9no : 0] eta;
+  // matrix[Ntot, save_lvs ? w9use + w9no : 0] eta;
   // matrix[Ntot, has_data ? m : 0] eta;
   // matrix[Ntot, has_data ? n : 0] xi;