Switched dsc() to new Rcpp-Code, updated dataset and example, moved s…

…ummary_stsc to S3 ClassMethod, new and improved arguments for stsc and dsc

.Rbuildignore

@@ -15,3 +15,4 @@
 ^cran-comments\.md$
 ^\.DS_Store$
 Build_Code.R
+^dev$

.github/workflows/rhub.yaml

@@ -0,0 +1,95 @@
+# R-hub's generic GitHub Actions workflow file. It's canonical location is at
+# https://github.com/r-hub/actions/blob/v1/workflows/rhub.yaml
+# You can update this file to a newer version using the rhub2 package:
+#
+# rhub::rhub_setup()
+#
+# It is unlikely that you need to modify this file manually.
+
+name: R-hub
+run-name: "${{ github.event.inputs.id }}: ${{ github.event.inputs.name || format('Manually run by {0}', github.triggering_actor) }}"
+
+on:
+  workflow_dispatch:
+    inputs:
+      config:
+        description: 'A comma separated list of R-hub platforms to use.'
+        type: string
+        default: 'linux,windows,macos'
+      name:
+        description: 'Run name. You can leave this empty now.'
+        type: string
+      id:
+        description: 'Unique ID. You can leave this empty now.'
+        type: string
+
+jobs:
+
+  setup:
+    runs-on: ubuntu-latest
+    outputs:
+      containers: ${{ steps.rhub-setup.outputs.containers }}
+      platforms: ${{ steps.rhub-setup.outputs.platforms }}
+
+    steps:
+    # NO NEED TO CHECKOUT HERE
+    - uses: r-hub/actions/setup@v1
+      with:
+        config: ${{ github.event.inputs.config }}
+      id: rhub-setup
+
+  linux-containers:
+    needs: setup
+    if: ${{ needs.setup.outputs.containers != '[]' }}
+    runs-on: ubuntu-latest
+    name: ${{ matrix.config.label }}
+    strategy:
+      fail-fast: false
+      matrix:
+        config: ${{ fromJson(needs.setup.outputs.containers) }}
+    container:
+      image: ${{ matrix.config.container }}
+
+    steps:
+      - uses: r-hub/actions/checkout@v1
+      - uses: r-hub/actions/platform-info@v1
+        with:
+          token: ${{ secrets.RHUB_TOKEN }}
+          job-config: ${{ matrix.config.job-config }}
+      - uses: r-hub/actions/setup-deps@v1
+        with:
+          token: ${{ secrets.RHUB_TOKEN }}
+          job-config: ${{ matrix.config.job-config }}
+      - uses: r-hub/actions/run-check@v1
+        with:
+          token: ${{ secrets.RHUB_TOKEN }}
+          job-config: ${{ matrix.config.job-config }}
+
+  other-platforms:
+    needs: setup
+    if: ${{ needs.setup.outputs.platforms != '[]' }}
+    runs-on: ${{ matrix.config.os }}
+    name: ${{ matrix.config.label }}
+    strategy:
+      fail-fast: false
+      matrix:
+        config: ${{ fromJson(needs.setup.outputs.platforms) }}
+
+    steps:
+      - uses: r-hub/actions/checkout@v1
+      - uses: r-hub/actions/setup-r@v1
+        with:
+          job-config: ${{ matrix.config.job-config }}
+          token: ${{ secrets.RHUB_TOKEN }}
+      - uses: r-hub/actions/platform-info@v1
+        with:
+          token: ${{ secrets.RHUB_TOKEN }}
+          job-config: ${{ matrix.config.job-config }}
+      - uses: r-hub/actions/setup-deps@v1
+        with:
+          job-config: ${{ matrix.config.job-config }}
+          token: ${{ secrets.RHUB_TOKEN }}
+      - uses: r-hub/actions/run-check@v1
+        with:
+          job-config: ${{ matrix.config.job-config }}
+          token: ${{ secrets.RHUB_TOKEN }}

DESCRIPTION

@@ -1,33 +1,37 @@
 Type: Package
 Package: hdflex
 Title: High-Dimensional Aggregate Density Forecasts
-Version: 0.2.2
+Version: 0.3.0
 Authors@R: c(
     person("Sven", "Lehmann", , "sven.lehmann@uni-rostock.de", role = c("aut", "cre", "cph")),
     person("Philipp", "Adämmer", , "philipp.adaemmer@uni-greifswald.de", role = "aut"),
     person("Rainer", "Schüssler", , "rainer.schüssler@uni-rostock.de", role = "aut")
   )
 Maintainer: Sven Lehmann <sven.lehmann@uni-rostock.de>
-Description: Provides a forecasting method that maps vast numbers of
-    (scalar-valued) signals of any type into an aggregate density forecast
+Description: Provides a forecasting method that efficiently maps vast
+    numbers of (scalar-valued) signals into an aggregate density forecast
     in a time-varying and computationally fast manner. The method proceeds
     in two steps: First, it transforms a predictive signal into a density
-    forecast. Second, it combines the generated candidate density
-    forecasts into an ultimate density forecast. The methods are explained
-    in detail in Adaemmer et al. (2023) <doi:10.2139/ssrn.4342487>.
+    forecast and, second, it combines the resulting candidate density
+    forecasts into an ultimate aggregate density forecast.  For a detailed
+    explanation of the method, please refer to Adaemmer et al. (2023)
+    <doi:10.2139/ssrn.4342487>.
 License: GPL (>= 2)
+URL: https://github.com/lehmasve/hdflex
+BugReports: https://github.com/lehmasve/hdflex/issues
 Depends: 
     R (>= 4.3.0)
 Imports: 
     checkmate (>= 2.3.1),
-    dplyr (>= 1.1.4),
-    parallel (>= 4.3.0),
+    ggplot2 (>= 3.5.1),
+    parallel,
     Rcpp,
-    roll (>= 1.1.6),
-    stats (>= 4.3.0),
-    stringr (>= 1.5.1)
+    reshape2 (>= 1.4.4),
+    stats,
+    utils
 Suggests: 
-    testthat (>= 3.2.1)
+    testthat (>= 3.2.1),
+    cowplot (>= 1.1.3)
 LinkingTo: 
     Rcpp,
     RcppArmadillo,
@@ -37,5 +41,3 @@ Encoding: UTF-8
 LazyData: true
 NeedsCompilation: Yes
 RoxygenNote: 7.3.2
-URL: https://github.com/lehmasve/hdflex
-BugReports: https://github.com/lehmasve/hdflex/issues

NAMESPACE

@@ -1,15 +1,16 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method(summary,dsc_obj)
+S3method(summary,stsc_obj)
 export(dsc)
 export(stsc)
-export(summary_stsc)
 export(tvc)
 import(checkmate)
-import(parallel)
+import(ggplot2)
 importFrom(Rcpp,evalCpp)
-importFrom(dplyr,lag)
-importFrom(roll,roll_sum)
+importFrom(reshape2,melt)
+importFrom(stats,complete.cases)
+importFrom(stats,dnorm)
 importFrom(stats,na.omit)
-importFrom(stats,t.test)
-importFrom(stringr,str_split)
+importFrom(stats,pnorm)
 useDynLib(hdflex, .registration = TRUE)