Downgraded to stable rstan, adaptation level vignette optimization.

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: bayes4psy
-Version: 1.2.5
+Version: 1.2.6
 Title: User Friendly Bayesian Data Analysis for Psychology
 Description: Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).
 Authors@R:
@@ -37,7 +37,7 @@ Suggests:
     knitr (>= 1.30.0)
 LinkingTo:
     StanHeaders (>= 2.21.0.6),
-    rstan (>= 2.21.2),
+    rstan (>= 2.21.0),
     BH (>= 1.72.0.3),
     Rcpp (>= 1.0.5),
     RcppEigen (>= 0.3.3.7.0)

cran-comments.md

@@ -1,5 +1,9 @@
 # Revisions
 
+## CRAN submission 14. 4. 2021
+
+Further vignettes optimization. The package now uses a stable rstan version.
+
 ## CRAN submission 7. 12. 2020
 
 Vignettes are now optimized to enable faster package compilation.
@@ -8,7 +12,6 @@ Vignettes are now optimized to enable faster package compilation.
 
 Revised tests to avoid stability issues on Solaris.
 
-
 ## CRAN submission 19. 2. 2020
 
 Reran all unit tests manually and corrected all checks.
@@ -32,17 +35,17 @@ Response: Added function level examples to exported model fitting functions (b_b
 3. CRAN: We are missing some authors and copyright holder in the authors list: author Rasmus Baath, author John Kruschke, Trustees of Columbia University.
 Response: Authors mentioned above are now added into the Authors@R field.
 
+## Test environments
 
-# Test environments
 * local OS X Mojave 10.14.5, R 3.5.4
 * local Windows 10, R 3.5.4
 * win-builder (R-devel)
 * Ubuntu Linux 16.04 LTS (rhub)
 * Fedora Linux, R-devel (rhub)
 
+## R CMD check results
 
-# R CMD check results
-There were no ERRORs or WARNINGs. 
+There were no ERRORs or WARNINGs.
 
 There were 2 NOTES:
 
@@ -54,6 +57,6 @@ There were 2 NOTES:
 * hecking for GNU extensions in Makefiles ... NOTE
     GNU make is a SystemRequirements.
 
+## Downstream dependencies
 
-# Downstream dependencies
 There are currently no downstream dependencies for this package.

vignettes/adaptation_level.Rmd

@@ -50,23 +50,15 @@ group2_part2 <- data %>% filter(group == 2 & part == 2)
 Once the data is prepared we can fit the Bayesian models, the input data comes in the form of three vectors, $x$ stores indexes of the measurements, $y$ subject's responses and $s$ indexes of subjects. Note here that, due to vignette limitations, all fits are built using only one chain, using more chains in parallel is usually more efficient. Also to increase the building speed of vignettes we greatly reduced the amount of iterations, use an appropriate amount of iterations when executing actual analyses!
 
 ```{r, message=FALSE, warning=FALSE, results = 'hide'}
-# prior
-beta_prior <- b_prior(family="normal", pars=c(0, 1))
-
-# attach priors to relevant parameters
-priors <- list(c("mu_b", beta_prior))
-
-
+# fit
 fit1 <- b_linear(x=group1_part2$sequence,
                  y=group1_part2$response,
                  s=group1_part2$subject,
-                 priors=priors,
                  iter=200, warmup=100, chains=1)
 
 fit2 <- b_linear(x=group2_part2$sequence,
                  y=group2_part2$response,
                  s=group2_part2$subject,
-                 priors=priors,
                  iter=200, warmup=100, chains=1)
 ```