use https for mc-stan.org links in NEWS and README

Author: jgabry

NEWS.md

@@ -9,11 +9,11 @@
 * MCMC plots now also accept objects with an `as.array` method as 
   input. (#175, #184)
 
-* [`mcmc_trace()`](http://mc-stan.org/bayesplot/reference/MCMC-traces.html)
+* [`mcmc_trace()`](https://mc-stan.org/bayesplot/reference/MCMC-traces.html)
   gains an argument `iter1` which can be used to label the traceplot starting
   from the first iteration after warmup. (#14, #155, @mcol)
 
-* [`mcmc_areas()`](http://mc-stan.org/bayesplot/reference/MCMC-intervals.html)
+* [`mcmc_areas()`](https://mc-stan.org/bayesplot/reference/MCMC-intervals.html)
   gains an argument `area_method` which controls how to draw the density 
   curves. The default `"equal area"` constrains the heights so that the curves 
   have the same area. As a result, a narrow interval will appear as a spike 
@@ -41,7 +41,7 @@
   case where factor-conversion failed. (#162, #165, @wwiecek)
 
 * The examples in
-  [`?ppc_loo_pit_overlay()`](http://mc-stan.org/bayesplot/reference/PPC-loo.html)
+  [`?ppc_loo_pit_overlay()`](https://mc-stan.org/bayesplot/reference/PPC-loo.html)
   now work as expected. (#166, #167)
 
 * `ppc_bars()` and `ppc_bars_grouped()` now allow negative integers as input. (#172)
@@ -64,29 +64,29 @@
     - `bayesplot_theme_replace()`
 
 * The [Visual MCMC Diagnostics
-  vignette](http://mc-stan.org/bayesplot/articles/visual-mcmc-diagnostics.html)
+  vignette](https://mc-stan.org/bayesplot/articles/visual-mcmc-diagnostics.html)
   has been reorganized and has a lot of useful new content thanks to Martin
   Modrák. (#144, #153)
 
 * The [LOO predictive
-  checks](http://mc-stan.org/bayesplot/reference/PPC-loo.html) now require
+  checks](https://mc-stan.org/bayesplot/reference/PPC-loo.html) now require
   **loo** version `>= 2.0.0`. (#139)
 
 * Histogram plots gain a `breaks` argument that can be used as an alternative
   to `binwidth`. (#148)
 
-* [`mcmc_pairs()`](http://mc-stan.org/bayesplot/reference/MCMC-scatterplots.html)
+* [`mcmc_pairs()`](https://mc-stan.org/bayesplot/reference/MCMC-scatterplots.html)
   now has an argument `grid_args` to provide a way of passing optional
   arguments to `gridExtra::arrangeGrob()`. This can be used to add a title to
   the plot, for example. (#143)
 
-* [`ppc_ecdf_overlay()`](http://mc-stan.org/bayesplot/reference/PPC-distributions.html)
+* [`ppc_ecdf_overlay()`](https://mc-stan.org/bayesplot/reference/PPC-distributions.html)
   gains an argument `discrete`, which is `FALSE` by default, but can be used
   to make the Geom more appropriate for discrete data. (#145)
 
 * [PPC intervals 
-  plots](http://mc-stan.org/bayesplot/reference/PPC-intervals.html) and [LOO
-  predictive checks](http://mc-stan.org/bayesplot/reference/PPC-loo.html) now
+  plots](https://mc-stan.org/bayesplot/reference/PPC-intervals.html) and [LOO
+  predictive checks](https://mc-stan.org/bayesplot/reference/PPC-loo.html) now
   draw both an outer and an inner probability interval, which can be
   controlled through the new argument `prob_outer` and the already existing
   `prob`. This is consistent with what is produced by `mcmc_intervals()`.
@@ -99,7 +99,7 @@
 
 (GitHub issue/PR numbers in parentheses)
 
-* New package documentation website: <http://mc-stan.org/bayesplot/>
+* New package documentation website: <https://mc-stan.org/bayesplot/>
 
 * Two new plots that visualize posterior density using
   [ridgelines][ggridges]. These work well when parameters have similar

README.md

@@ -1,11 +1,11 @@
-[<img src="https://raw.githubusercontent.com/stan-dev/logos/master/logo_tm.png" width=100 alt="Stan Logo"/>](http://mc-stan.org)
+[<img src="https://raw.githubusercontent.com/stan-dev/logos/master/logo_tm.png" width=100 alt="Stan Logo"/>](https://mc-stan.org)
 
 # bayesplot
 
 [![Travis-CI Build Status](https://travis-ci.org/stan-dev/bayesplot.svg?branch=master)](https://travis-ci.org/stan-dev/bayesplot)
 [![codecov](https://codecov.io/gh/stan-dev/bayesplot/branch/master/graph/badge.svg)](https://codecov.io/gh/stan-dev/bayesplot)
-[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/bayesplot?color=blue)](http://cran.r-project.org/web/packages/bayesplot)
-[![Downloads](http://cranlogs.r-pkg.org/badges/bayesplot?color=blue)](http://cran.rstudio.com/package=bayesplot)
+[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/bayesplot?color=blue)](https://cran.r-project.org/web/packages/bayesplot)
+[![Downloads](https://cranlogs.r-pkg.org/badges/bayesplot?color=blue)](https://cran.rstudio.com/package=bayesplot)
 
 **bayesplot** is an R package providing an extensive library of plotting
 functions for use after fitting Bayesian models (typically with MCMC). Currently
@@ -22,12 +22,12 @@ The idea behind **bayesplot** is not only to provide convenient functionality
 for users, but also a common set of functions that can be easily used by
 developers working on a variety of packages for Bayesian modeling, particularly
 (but not necessarily) those powered by
-[**RStan**](http://mc-stan.org/rstan).
+[**RStan**](https://mc-stan.org/rstan).
 
 ### Resources
 
-* [mc-stan.org/bayesplot](http://mc-stan.org/bayesplot) (online documentation, vignettes)
-* [Ask a question](http://discourse.mc-stan.org) (Stan Forums on Discourse)
+* [mc-stan.org/bayesplot](https://mc-stan.org/bayesplot) (online documentation, vignettes)
+* [Ask a question](https://discourse.mc-stan.org) (Stan Forums on Discourse)
 * [Open an issue](https://github.com/stan-dev/bayesplot/issues) (GitHub issues for bug reports, feature requests)
 
 ### Installation