updated

Author: software-github

R/R/scrabble.R

@@ -16,15 +16,15 @@
 #' @param parameter the vector of parameters. The first parameter is the value of alpha in the mathematical model
 #' , the second one is the value of beta in the mathematical model.
 #'
-#' @param nIter the maximum iterations, the default is 60.
+#' @param nIter the maximum iterations, the default is 20.
 #'
 #' @param error_out_threshold the threshold of the error between the current imputed matrix and the previous one.
-#' Default is 1e-5.
+#' Default is 1e-4.
 #'
-#' @param nIter_inner the maximum interations of calculating the sub-optimization problem. Default is 60.
+#' @param nIter_inner the maximum interations of calculating the sub-optimization problem. Default is 20.
 #'
 #' @param error_inner_threshold the threshold of the error between the current updated matrix and the previous one.
-#' Default is 1e-5.
+#' Default is 1e-4.
 #'
 #' @examples
 #' # Set up the parameter used in SCRABBLE

README.md

@@ -9,7 +9,7 @@ SCRABBLE imputes drop-out data by optimizing an objective function that consists
 ### Install from Github 
 ```
 library(devtools)
-install_github("tanlabcode/SCRABBLE/tree/master/R")
+install_github("software-github/SCRABBLE/R")
 ```
 
 ### Install from source codes
@@ -27,13 +27,13 @@ Where `path_to_file` would represent the full path and file name:
 
 ### Quick start
 ```
-data_sc <- data[[1]]
-data_bulk <- data[[2]]
-data_true <- data[[3]]
+data_sc <- demo_data[[1]]
+data_bulk <- demo_data[[2]]
+data_true <- demo_data[[3]]
 
 parameter <- c(1,1e-6,1e-4)
 
-result <- scrabble(data, parameter = parameter)
+result <- scrabble(demo_data, parameter = parameter)
 ```                   
 ## MATLAB Version