Removed Warning about CRAN

Author: AnotherSamWilson

README.md

@@ -9,8 +9,6 @@ Status](https://api.travis-ci.org/AnotherSamWilson/ParBayesianOptimization.svg)]
 [![Coverage
 Status](https://codecov.io/gh/AnotherSamWilson/ParBayesianOptimization/branch/master/graph/badge.svg)](https://codecov.io/gh/AnotherSamWilson/ParBayesianOptimization/branch/master)
 
-### ParBayesianOptimization has been temporarily removed from CRAN because of minor issues. I have re-submitted, it should be back up within the week.
-
 # Parallelizable Bayesian Optimization
 
 <img src='vignettes/icon.png' align = 'right' height="300" />
@@ -231,7 +229,6 @@ folds object to be used in the scoring function.
 
 ``` r
 library("xgboost")
-#> Warning: package 'xgboost' was built under R version 4.0.3
 
 data(agaricus.train, package = "xgboost")
 
@@ -318,14 +315,14 @@ to see the results:
 ``` r
 optObj$scoreSummary
 #>    Epoch Iteration max_depth min_child_weight subsample gpUtility acqOptimum inBounds Elapsed     Score nrounds errorMessage
-#> 1:     0         1         2         1.670129 0.7880670        NA      FALSE     TRUE    0.14 0.9777163       2           NA
-#> 2:     0         2         2        14.913213 0.8763154        NA      FALSE     TRUE    0.36 0.9763760      15           NA
+#> 1:     0         1         2         1.670129 0.7880670        NA      FALSE     TRUE    0.13 0.9777163       2           NA
+#> 2:     0         2         2        14.913213 0.8763154        NA      FALSE     TRUE    0.33 0.9763760      15           NA
 #> 3:     0         3         4        18.833690 0.3403900        NA      FALSE     TRUE    0.44 0.9931657      18           NA
-#> 4:     0         4         4         8.639925 0.5499186        NA      FALSE     TRUE    0.25 0.9981437       7           NA
-#> 5:     1         5         4        21.871937 1.0000000 0.5857961       TRUE     TRUE    0.12 0.9945933       1           NA
-#> 6:     2         6         4         0.000000 0.9439879 0.6668303       TRUE     TRUE    0.28 0.9990567       7           NA
-#> 7:     3         7         5         1.395119 0.7071802 0.2973497       TRUE     TRUE    0.22 0.9984577       4           NA
-#> 8:     4         8         5         0.000000 0.2500000 0.3221660       TRUE     TRUE    0.31 0.9994020      10           NA
+#> 4:     0         4         4         8.639925 0.5499186        NA      FALSE     TRUE    0.23 0.9981437       7           NA
+#> 5:     1         5         4        21.871937 1.0000000 0.5857961       TRUE     TRUE    0.11 0.9945933       1           NA
+#> 6:     2         6         4         0.000000 0.9439879 0.6668303       TRUE     TRUE    0.24 0.9990567       7           NA
+#> 7:     3         7         5         1.395119 0.7071802 0.2973497       TRUE     TRUE    0.18 0.9984577       4           NA
+#> 8:     4         8         5         0.000000 0.2500000 0.3221660       TRUE     TRUE    0.28 0.9994020      10           NA
 ```
 
 ``` r
@@ -384,10 +381,10 @@ optimization steps, versus the 4 performed in the sequential example:
 ``` r
 tWithPar
 #>    user  system elapsed 
-#>    1.06    0.05    8.89
+#>    0.92    0.02    7.39
 tNoPar
 #>    user  system elapsed 
-#>   26.41    2.73   24.66
+#>   23.14    2.36   21.16
 ```
 
 ## Sampling Multiple Promising Points at Once