Merge pull request #152 from pitmonticone/master

Clean README and docs

Author: goedman

README.md

@@ -37,7 +37,7 @@ StatisticalRethinking.jl v4 also fits better with the new setup of Pluto noteboo
 
 2. Define the mcmc model, e.g. using StanSample.jl or Turing.jl, and obtain draws from the model.
 
-3. Capture the draws for further processing. In Turing that is ususally done using MCMCChains.jl, in StanSample.jl v4 it's mostly in the form of a DataFrame, a StanTable, a KeyedArray chains (obtained from AxisKeys.jl).
+3. Capture the draws for further processing. In Turing that is usually done using MCMCChains.jl, in StanSample.jl v4 it's mostly in the form of a DataFrame, a StanTable, a KeyedArray chains (obtained from AxisKeys.jl).
 
 4. For further processing, the projects nearly always convert chains to a DataFrame.
 
@@ -63,7 +63,7 @@ Similarly, a dependency [ParetoSmoothedImportanceSampling.jl](https://github.com
 
 ## Versions
 
-As listed in issue [#145](https://github.com/StatisticalRethinkingJulia/StatisticalRethinking.jl/issues/145#issue-1064657635) recently it was noticed that some very old Jupyter notebook files are still present which makes an inital download, e.g. when `dev`-ing the package, rather long. This is not a problem when you just `add` the package.
+As listed in issue [#145](https://github.com/StatisticalRethinkingJulia/StatisticalRethinking.jl/issues/145#issue-1064657635) recently it was noticed that some very old Jupyter notebook files are still present which makes an initial download, e.g. when `dev`-ing the package, rather long. This is not a problem when you just `add` the package.
 
 I am planning to address that in v5.
 

docs/src/srgithub.md

@@ -34,7 +34,7 @@ Also, an attempt has been made to make StatisticalRethinking.jl fit better with
 
 2. Define the mcmc model, e.g. using StanSample.jl or Turing.jl, and obtain draws from the model.
 
-3. Capture the draws for further processing. In Turing that is ususally done using MCMCChains.jl, in StanSample.jl v4 it's mostly in the form of a DataFrame, a StanTable, a KeyedArray chains (obtained from AxisKeys.jl).
+3. Capture the draws for further processing. In Turing that is usually done using MCMCChains.jl, in StanSample.jl v4 it's mostly in the form of a DataFrame, a StanTable, a KeyedArray chains (obtained from AxisKeys.jl).
 
 4. Inspect the chains using statistical and visual methods. In many cases this will need one or more statistical packages and one of the graphical options.