testing README.Rmd

.Rbuildignore

@@ -1,7 +1,8 @@
 ^.*\.Rproj$         # Automatically added by RStudio,
 ^\.Rproj\.user$     # used for temporary files. 
-^README\.Rmd$       # An Rmarkdown file used to generate README.md
 ^cran-comments\.md$ # Comments for CRAN submission
+^README\.Rmd$
+^README-.*\.png$
 ^NEWS\.md$          # A news file written in Markdown
 vignettes/figure	
 vignettes/cache	
@@ -10,3 +11,4 @@ vignettes/cache
 ^.git$
 ^.gitignore$
 ^.project$	    # added by eclipse 
+^NEWS\.md$

README.Rmd

@@ -0,0 +1,54 @@
+---
+output: github_document
+---
+
+<!-- 
+README.md is generated from README.Rmd. Please edit that file
+knit("README.Rmd") 
+-->
+
+
+```{r, echo = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  fig.path = "README-"
+)
+```
+
+[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/logitnorm)](http://cran.r-project.org/package=logitnorm)
+
+## Overview
+
+`logitnorm` package provides support for the univariate
+[logit-normal
+distribution](https://en.wikipedia.org/wiki/Logit-normal_distribution). In
+addition to the usual randon, density, percential, and quantile function, it
+helps with distribution parameters from observations.
+
+## Installation
+
+```{r, eval = FALSE}
+# From CRAN
+install.packages("logitnorm")
+
+# Or the the development version from GitHub:
+# install.packages("devtools")
+devtools::install_github("bgctw/logitnorm")
+```
+
+## Usage
+
+See the package vignette for an introduction.
+
+A simple example estimates distribution parameters from observation
+statistics of mode 0.7 and upper quantile 0.9. Next, the density is plotted
+for across a range of quantiles.
+
+```{r example}
+(theta <- twCoefLogitnormMLE(0.7,0.9))
+x <- seq(0,1, length.out=81) 
+d <- dlogitnorm(x, mu=theta[1,"mu"], sigma=theta[1,"sigma"])
+plot(d~x,type="l")
+abline(v=c(0.7,0.9), col="grey")
+```

README.md

@@ -0,0 +1,50 @@
+---
+output: github_document
+---
+
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+
+
+
+[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/logitnorm)](http://cran.r-project.org/package=logitnorm)
+
+## Overview
+
+`logitnorm` package provides support for the univariate
+[logit-normal
+distribution](https://en.wikipedia.org/wiki/Logit-normal_distribution). In
+addition to the usual randon, density, percential, and quantile function, it
+helps with distribution parameters from observations.
+
+## Installation
+
+
+```r
+# From CRAN
+install.packages("logitnorm")
+
+# Or the the development version from GitHub:
+# install.packages("devtools")
+devtools::install_github("bgctw/logitnorm")
+```
+
+## Usage
+
+See the package vignette for an introduction.
+
+A simple example estimates distribution parameters from observation
+statistics of mode 0.7 and upper quantile 0.9. Next, the density is plotted
+for across a range of quantiles.
+
+
+```r
+(theta <- twCoefLogitnormMLE(0.7,0.9))
+#>             mu    sigma
+#> [1,] 0.7608886 0.464783
+x <- seq(0,1, length.out=81) 
+d <- dlogitnorm(x, mu=theta[1,"mu"], sigma=theta[1,"sigma"])
+plot(d~x,type="l")
+abline(v=c(0.7,0.9), col="grey")
+```
+
+![plot of chunk example](README-example-1.png)