Big Update - Now Using BayesX

Removed most of the MCMCpack (apart from the simple example in Practical 5), now reverted to using BayesX throughout, much happier!

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: vibass
 Title: Valencia International Bayesian Summer School
-Version: 0.0.41
+Version: 0.0.43
 Authors@R: 
     c(person(given = "VIBASS7",
              role = c("aut")),
@@ -46,11 +46,12 @@ Imports:
     crayon,
     dplyr,
     extraDistr,
+    faraway,
     ggplot2,
     golem,
     knitr,
     magrittr,
-    MCMCpack,
+    R2BayesX,
     rlang,
     rstudioapi,
     shiny (>= 1.5),
@@ -60,17 +61,16 @@ Suggests:
     bayesrules,
     coda,
     cowplot,
-    faraway,
     hrbrthemes,
     htmlwidgets,
     INLA,
     ISLR,
     LaplacesDemon,
     magick,
     MASS,
+    MCMCpack,
     plotly,
     rmarkdown,
-    R2BayesX,
     pacman,
     png,
     spData,

vignettes/p5.Rmd

@@ -487,10 +487,11 @@ package, using the so-called
 "full conditional" distributions - that is, the conditional distributions
 referred to in the [Section on Gibbs Sampling](#Gibbs).
 
-We will use the R package MCMCpack to run the Gibbs Sampling here and for the
-other examples coming in this and the next two Practicals.
+We will use the R package MCMCpack to run the Gibbs Sampling for this simple
+example, although we will use more advanced software in Practicals 6 and 7 for
+more complex examples.
 
-We will study an example from ecology, looking at the relationship between water pollution and mayfly size - the data come from the book *Statistics for
+We will study an problem from ecology, looking at the relationship between water pollution and mayfly size - the data come from the book *Statistics for
 Ecologists Using R and Excel 2nd edition* by Mark Gardener (ISBN 9781784271398),
 see [the publisher's webpage](https://pelagicpublishing.com/products/statistics-for-ecologists-using-r-and-excel-gardener-2nd-edition).