prepare for CRAN

pkg/DESCRIPTION

@@ -13,10 +13,10 @@ Description: Convenient functions for ensemble forecasts in R combining
     and user-supplied models and forecasting functions is also supported to evaluate model accuracy.
 Depends:
     R (>= 3.1.1),
-    doParallel(>= 1.0.10),
+    doParallel (>= 1.0.10),
     forecast (>= 8.1),
-    foreach(>= 1.4.3),
-    ggplot2 (>= 2.2.0),
+    foreach (>= 1.4.3),
+    ggplot2 (>= 2.2.0)
 Imports:
     reshape2 (>= 1.4.2),
     zoo (>= 1.7)

pkg/NAMESPACE

@@ -18,8 +18,13 @@ export(tsCombine)
 export(tsPartition)
 export(tsSubsetWithIndices)
 import(doParallel)
+import(foreach)
 import(forecast)
-import(ggplot2)
 import(graphics)
 import(stats)
 import(zoo)
+importFrom(ggplot2,aes)
+importFrom(ggplot2,autoplot)
+importFrom(ggplot2,geom_line)
+importFrom(ggplot2,ggplot)
+importFrom(ggplot2,scale_y_continuous)

pkg/R/cvts.R

@@ -3,6 +3,7 @@
 #' Perform cross validation on a time series.
 #'
 #' @import doParallel
+#' @import foreach
 #' @export
 #' @param x the input time series.
 #' @param FUN the model function used. Custom functions are allowed. See details and examples.

pkg/R/hybridModel.R

@@ -603,7 +603,7 @@ print.hybridModel <- function(x, ...){
 #' @export
 #'
 #' @author David Shaub
-#' @import ggplot2
+#' @importFrom ggplot2 ggplot aes autoplot geom_line scale_y_continuous
 #'
 plot.hybridModel <- function(x,
                              type = c("fit", "models"),

pkg/inst/NEWS.md

@@ -4,6 +4,7 @@ Note that if the model that you are fitting also utilizes parallelization,
 the number of cores used by each model multiplied by `num.cores` passed to
 `cvts()` should not exceed the number of cores on your machine.
 * The package versioning now follows [semantic versioning](http://semver.org/) more closely; however, the convention used will be `MAJOR.MINOR.RELEASE_NUM`.
+* Instead of loading the entire `ggplot2` namespace, only specific functions are now imported.
 
 # Version 0.4.1 [2017-06-18]
 * The "forecast" package v8.1 now declares the S3 method `accuracy()`, so this is imported and no longer declared in "forecastHybrid".

pkg/inst/doc/forecastHybrid.Rmd

@@ -174,11 +174,9 @@ beaverhm <- hybridModel(ts(trainSet$temp, f = 6),
                         n.args = list(xreg = trainXreg),
                         s.args = list(xreg = trainXreg, method = "arima"))
 # Forecast future values
-#forecast won't run in current version, next release allows
-#forecast with stlm with xreg
-#beaverfc <- forecast(beaverhm, xreg = testXreg)
+beaverfc <- forecast(beaverhm, xreg = testXreg)
 
 # View the accuracy of the model
-#accuracy(beaverfc, testSet$temp)
+accuracy(beaverfc, testSet$temp)
 ```