Updated p6.Rmd

Converted p6.Rmd to use MCMCpack, although the Poisson example should be changed as it uses a fudge to deal with the offset. Also tidied p5.Rmd a little and updated the Description.

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: vibass
 Title: Valencia International Bayesian Summer School
-Version: 0.0.40
+Version: 0.0.41
 Authors@R: 
     c(person(given = "VIBASS5",
              role = c("aut")),
@@ -66,6 +66,7 @@ Suggests:
     LaplacesDemon,
     magick,
     MASS,
+    MCMCpack,
     plotly,
     rmarkdown,
     R2BayesX,

vignettes/p5.Rmd

@@ -526,8 +526,9 @@ to see the help page for MCMCregress. We specify the formula just as we would
 for a non-Bayesian regression using the lm function in Base R. Conjugate priors
 are used, with Normal priors for the regression parameters $\beta$ (with means
 in `b0` and precisions in `B0`) and an inverse Gamma prior for the residual
-variance $\sigma^2$.
-The hyperparameters for the prior for $\sigma^2$ can either be set
+variance $\sigma^2$; the latter is equivalent to a Gamma prior for the
+residual precision $\tau$.
+The parameters for the prior for $\tau$ can either be set
 as the shape and scale parameters of the Gamma distribution
 (`c0/2` and `d0/2` respectively) or as the mean and variance
 (`sigma.mu` and `sigma.var`).