docs update

DESCRIPTION

@@ -35,6 +35,5 @@ Imports: mlr,
     data.table,
     forestmodel,
     lubridate,
-    ggplot2,
     shiny,
     MASS

R/explore.R

@@ -7,7 +7,8 @@
 #' @param size Number of observations is a simulated dataset.
 #' @param method If "live", new observations will be created by changing one value
 #'        per observation. If "lime", new observation will be created by permuting  all
-#'        columns of data.
+#'        columns of data. If "normal", numerical features will be sampled from multivariate
+#'        normal distribution specified by ... arguments mu and Sigma.
 #' @param fixed_variables names or numeric indexes of columns which will not be changed
 #'        while sampling.
 #' @param ... Mean and covariance matrix for normal sampling method.

README.md

@@ -1,8 +1,8 @@
 # live: Local Interpretable (Model-agnostic) Visual Explanations
 
-[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/live)](https://cran.r-project.org/package=live)
-[![Downloads](http://cranlogs.r-pkg.org/badges/live)](http://cran.rstudio.com/package=live)
-[![Total Downloads](http://cranlogs.r-pkg.org/badges/grand-total/live?color=orange)](http://cranlogs.r-pkg.org/badges/grand-total/live)
+[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/live)](https://CRAN.R-project.org/package=live)
+[![Downloads](http://cranlogs.r-pkg.org/badges/live)](https://CRAN.R-project.org/package=live)
+[![Total Downloads](http://cranlogs.r-pkg.org/badges/grand-total/live?color=orange)](https://cranlogs.r-pkg.org/badges/grand-total/live)
 [![Build Status](https://travis-ci.org/MI2DataLab/live.svg?branch=master)](https://travis-ci.org/MI2DataLab/live)
 [![Coverage Status](https://img.shields.io/codecov/c/github/MI2DataLab/live/master.svg)](https://codecov.io/github/MI2DataLab/live?branch=master)
 [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=The%20live%20package%20will%20help%20you%20explain%20your%20model%27s%20predictions%20by%20fitting%20a%20simpler%20model%20locally%20and%20visualizing%20it.%20Find%20out%20more%20at%0Ahttps://github.com/MI2DataLab/live%0A&hashtags=rstats,interpretableML,machinelearning,xAI)
@@ -26,8 +26,6 @@ devtools::install_github("MI2DataLab/live")
 
 Features coming up next:
 
-  * more methods of sampling,
-
   * better support for comparing explanations for different models / different instances,
 
   * improved Shiny application (see `live_shiny` function in development version).