bump version, prep cran

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: tidyquant
 Type: Package
 Title: Tidy Quantitative Financial Analysis
-Version: 1.0.6.9000
+Version: 1.0.7
 Authors@R: c(
     person("Matt", "Dancho", email = "[email protected]", role = c("aut", "cre")),
     person("Davis", "Vaughan", email = "[email protected]", role = c("aut"))

NEWS.md

@@ -1,4 +1,6 @@
-# tidyquant 1.0.6.9000
+# tidyquant 1.0.7
+
+- Moved `tidyverse` from suggest to imports to pass cran tests
 
 # tidyquant 1.0.6
 
@@ -255,7 +257,7 @@ _[Potential Breaking Change] Move `tidyverse` to suggests_
 # tidyquant 0.3.0
 
 * New data:
-    * New `tq_get` option `get = "key.stats"`, which retrieves the current key statistics (55 total) from [www.finance.yahoo.com/](https://finance.yahoo.com/). These include various current data such as Ask, Bid, Day's High, Day's Low, Last Trade Price, current P/E Ratio, EPS, Current Market Cap, EPS Projected Current Year, EPS Projected Next Year and many more. Example: `tq_get("AAPL", get = "key.stats")`.
+    * New `tq_get` option `get = "key.stats"`, which retrieves the current key statistics (55 total) from www.finance.yahoo.com/. These include various current data such as Ask, Bid, Day's High, Day's Low, Last Trade Price, current P/E Ratio, EPS, Current Market Cap, EPS Projected Current Year, EPS Projected Next Year and many more. Example: `tq_get("AAPL", get = "key.stats")`.
 * New visualizations that integrate with `ggplot2`:
     * Chart geoms: Bar charts (`geom_barchart`) and candlestick charts (`geom_candlestick`) can be quickly created with the new geoms.
     * Moving Averages: Seven moving averages can be quickly visualized / prototyped using `geom_ma`. The geom wraps the `TTR::SMA` functions.

vignettes/TQ01-core-functions-in-tidyquant.Rmd

@@ -109,7 +109,7 @@ x8411T <- tq_get("8411.T", get = "stock.prices.japan", from = "2016-01-01", to
 ```
 
 
-The data source is [Yahoo Finance](https://finance.yahoo.com/) and [Yahoo Finance Japan](https://finance.yahoo.co.jp/).
+The data source is Yahoo Finance (https://finance.yahoo.com/) and Yahoo Finance Japan (https://finance.yahoo.co.jp/).
 
 ## 2.2 FRED Economic Data