prepare CRAN submission

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: CAST
 Type: Package
 Title: 'caret' Applications for Spatial-Temporal Models
-Version: 0.9.2
+Version: 1.0.0
 Authors@R: c(person("Hanna", "Meyer", email = "[email protected]", role = c("cre", "aut")),
              person("Carles", "Milà", role = c("aut")),
              person("Marvin", "Ludwig", role = c("aut")),

NEWS.md

@@ -1,5 +1,6 @@
-# `CAST` 0.9.2
+# `CAST` 1.0.0
 * new features:
+  * calculate local point density within AOA
   * option of spatial error profiles (errorProfiles with variable="geodist")
   * normalize_DI for a more intuitive interpretation
   * geodist allows calculating temporal distances
@@ -17,10 +18,6 @@
   *plot_ffs (replaced by plot.ffs)
   *calibrate_aoa (replaced by errorProfiles)
 
-# `CAST` 0.9.1
-* new features:
-  * calculate local point density within AOA
-
 # `CAST` 0.9.0
 * new features:
   * CAST functions now return classes with generic plotting and printing

R/bss.R

@@ -31,8 +31,7 @@
 #' cross validations where variable selection
 #' MUST be based on the performance of the model for predicting new spatial units.
 #' Note that bss is very slow since all combinations of variables are tested.
-#' A more time efficient alternative is the forward feature selection (\code{\link{ffs}})
-#'  (\code{\link{ffs}}).
+#' A more time efficient alternative is the forward feature selection (\code{\link{ffs}}).
 #' @author Hanna Meyer
 #' @seealso \code{\link{train}},\code{\link{ffs}},
 #' \code{\link{trainControl}},\code{\link{CreateSpacetimeFolds}},

R/ffs.R

@@ -66,8 +66,12 @@
 #' \dontrun{
 #' data(splotdata)
 #' ffsmodel <- ffs(splotdata[,6:12], splotdata$Species_richness, ntree = 20)
+#'
 #' ffsmodel$selectedvars
 #' ffsmodel$selectedvars_perf
+#' plot(ffsmodel)
+#' #or only selected variables:
+#' plot(ffsmodel,plotType="selected")
 #'}
 #'
 #' # or perform model with target-oriented validation (LLO CV)