add readme badges

.Rbuildignore

@@ -5,3 +5,5 @@
 ^_pkgdown\.yml$
 ^docs$
 ^data-raw$
+^\.travis\.yml$
+^codecov\.yml$

.travis.yml

@@ -0,0 +1,8 @@
+# R for travis: see documentation at https://docs.travis-ci.com/user/languages/r
+
+language: R
+sudo: false
+cache: packages
+
+after_success:
+    - Rscript -e 'covr::codecov()'

DESCRIPTION

@@ -35,4 +35,5 @@ Imports:
 RoxygenNote: 6.0.1
 Roxygen: list(markdown = TRUE)
 Suggests: 
-    testthat
+    testthat,
+    covr

README.Rmd

@@ -22,6 +22,10 @@ library(tidyverse)
 
 # anomalize
 
+[![Travis build status](https://travis-ci.org/business-science/anomalize.svg?branch=master)](https://travis-ci.org/business-science/anomalize)
+[![Coverage status](https://codecov.io/gh/business-science/anomalize/branch/master/graph/badge.svg)](https://codecov.io/github/business-science/anomalize?branch=master)
+
+
 > Tidy anomaly detection
 
 `anomalize` enables a tidy workflow for detecting anomalies in data. The main functions are `time_decompose()`, `anomalize()`, and `time_recompose()`. When combined, it's quite simple to decompose time series, detect anomalies, and create bands separating the "normal" data from the anomalous data.

README.md

@@ -3,6 +3,11 @@
 
 # anomalize
 
+[![Travis build
+status](https://travis-ci.org/business-science/anomalize.svg?branch=master)](https://travis-ci.org/business-science/anomalize)
+[![Coverage
+status](https://codecov.io/gh/business-science/anomalize/branch/master/graph/badge.svg)](https://codecov.io/github/business-science/anomalize?branch=master)
+
 > Tidy anomaly detection
 
 `anomalize` enables a tidy workflow for detecting anomalies in data. The

codecov.yml

@@ -0,0 +1,12 @@
+comment: false
+
+coverage:
+  status:
+    project:
+      default:
+        target: auto
+        threshold: 1%
+    patch:
+      default:
+        target: auto
+        threshold: 1%