update link to shiny app

Author: joethorley

DESCRIPTION

@@ -1,8 +1,9 @@
 Package: ssdtools
-Version: 0.0.1.9002
-Date: 2018-09-27
+Version: 0.0.1.9003
+Date: 2018-10-04
 Title: Species Sensitivity Distributions
-Description: Fits and plots species sensitivity distributions.
+Description: Fits and plots species sensitivity distributions using 
+  maximum likelihood and information-theoretic-based model averaging.
 Authors@R: c(
   person("Joe", "Thorley", email = "joe@poissonconsulting.ca", role = c("aut", "cre", "ctr"), 
     comment = c(ORCID = "0000-0002-7683-4592")),

README.Rmd

@@ -18,7 +18,8 @@ knitr::opts_chunk$set(
 [![Travis-CI Build Status](https://travis-ci.org/bcgov/ssdtools.svg?branch=master)](https://travis-ci.org/bcgov/ssdtools)
 [![Coverage Status](https://img.shields.io/codecov/c/github/bcgov/ssdtools/master.svg)](https://codecov.io/github/bcgov/ssdtools?branch=master)
 
-`ssdtools` is an R package to fit distributions to Species Sensitivity Data.
+`ssdtools` is an R package to plot and fit Species Sensitivity Distributions (SSD). 
+It uses Maximum Likelihood and Information-Theoretic based model averaging.
 
 ## Installation
 
@@ -89,7 +90,7 @@ For more information and examples of how to use `ssdtools` in conjuction with `f
 assess alternative fits and deal with weighted and censored data see the vignette `ssdtools`.
 The vignette also demonstrates how to use `ssdtools` in conjunction with `ggplot2` to produce custom plots.
 
-A shiny webpage that was developed by [Seb Dalgaro](https://github.com/sebdalgarno) of Poisson Consulting for non-users of R is available at <https://poissonconsulting.shinyapps.io/ssdca-shiny/>.
+A shiny webpage developed by [Seb Dalgaro](https://github.com/sebdalgarno) of Poisson Consulting for non-users of R is available at <https://poissonconsulting.shinyapps.io/ssdtools/>.
 
 The data included in `ssdtools` are sourced from the Canadian environmental quality guidelines [published by the Canadian Council of Ministers of the Environment](http://ceqg-rcqe.ccme.ca/en/index.html). See the `data-raw` folder for more information.
 
@@ -129,5 +130,3 @@ The code is released under the Apache License 2.0
     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     See the License for the specific language governing permissions and
     limitations under the License.
-    
-

README.md

@@ -10,8 +10,9 @@ Status](https://travis-ci.org/bcgov/ssdtools.svg?branch=master)](https://travis-
 [![Coverage
 Status](https://img.shields.io/codecov/c/github/bcgov/ssdtools/master.svg)](https://codecov.io/github/bcgov/ssdtools?branch=master)
 
-`ssdtools` is an R package to fit distributions to Species Sensitivity
-Data.
+`ssdtools` is an R package to plot and fit Species Sensitivity
+Distributions (SSD). It uses Maximum Likelihood and
+Information-Theoretic based model averaging.
 
 ## Installation
 
@@ -49,6 +50,8 @@ library(ssdtools)
 #> Loading required package: fitdistrplus
 #> Loading required package: MASS
 #> Loading required package: survival
+#> Loading required package: npsurv
+#> Loading required package: lsei
 ```
 
 `ssdtools` provides a data set for several chemicals including Boron.
@@ -108,7 +111,7 @@ ssd_hc(boron_dists)
 #> # A tibble: 1 x 5
 #>   percent   est    se   lcl   ucl
 #>     <int> <dbl> <dbl> <dbl> <dbl>
-#> 1       5  1.25 0.746 0.621  3.25
+#> 1       5  1.25 0.747 0.603  3.18
 ```
 
 Model-averaged predictions complete with confidence intervals can be
@@ -134,10 +137,10 @@ and censored data see the vignette `ssdtools`. The vignette also
 demonstrates how to use `ssdtools` in conjunction with `ggplot2` to
 produce custom plots.
 
-A shiny webpage that was developed by [Seb
+A shiny webpage developed by [Seb
 Dalgaro](https://github.com/sebdalgarno) of Poisson Consulting for
 non-users of R is available at
-<https://poissonconsulting.shinyapps.io/ssdca-shiny/>.
+<https://poissonconsulting.shinyapps.io/ssdtools/>.
 
 The data included in `ssdtools` are sourced from the Canadian
 environmental quality guidelines [published by the Canadian Council of