Add multicore/parallel computing option

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: NetworkComparisonTest
 Type: Package
-Title: Statistical Comparison of Two Networks Based on Several Invariance Measures
+Title: Statistical Comparison of Two Networks Based on Three Invariance Measures
 Version: 2.2.2
 Authors@R: c(
     person("Claudia", "van Borkulo", email = "cvborkulo@gmail.com",role = c("aut","cre")),
@@ -10,7 +10,7 @@ Authors@R: c(
   person("Alex", "Millner", role = c("ctb")))
 Maintainer: Claudia van Borkulo <cvborkulo@gmail.com> 
 Imports:
-    bootnet,
+    foreach,
     qgraph,
     IsingFit,
     IsingSampler,
@@ -19,17 +19,19 @@ Imports:
     graphics,
     utils,
     Matrix,
-    methods
+    methods,
+    bigstatsr,
+    doParallel,
+    parallelly
 Suggests:
     networktools
-Description: This permutation based hypothesis test, suited for several types of data 
-    supported by the estimateNetwork function of the bootnet package (Epskamp & Fried, 2018), 
-    assesses the difference between two networks based on several invariance measures (network 
-    structure invariance, global strength invariance, edge invariance, several centrality 
-    measures, etc.). Network structures are estimated with l1-regularization. The Network 
-    Comparison Test is suited for comparison of independent (e.g., two different groups) and 
-    dependent samples (e.g., one group that is measured twice). See van Borkulo et al. (2021, 
-    in press; the final article will be available, upon publication, via its DOI: 
-    10.1037/met0000476).
+Description: This permutation based hypothesis test, suited for Gaussian and binary data, 
+    assesses the difference between two networks based on several invariance measures 
+    (e.g., network structure invariance, global strength invariance, edge invariance). 
+    Network structures are estimated with l1-regularized partial correlations (Gaussian data) 
+    or with l1-regularized logistic regression (eLasso, binary data). Suited for comparison 
+    of independent and dependent samples. For dependent samples, only supported for data of 
+    one group which is measured twice. See van Borkulo et al. (2017) 
+    <doi:10.13140/RG.2.2.29455.38569>.
 License: GPL-2
-RoxygenNote: 6.1.1
+RoxygenNote: 7.1.2

NAMESPACE

@@ -7,11 +7,13 @@ import(qgraph)
 import(IsingFit)
 import(IsingSampler)
 import(reshape2)
-import(bootnet)
+import(foreach)
 importFrom("graphics", "hist", "points")
 importFrom("stats", "cor", "p.adjust")
 importFrom("utils", "setTxtProgressBar", "txtProgressBar")
 importFrom("Matrix", "nearPD")
 importFrom("reshape2","melt")
 importFrom("stats", "na.omit")
+
+
 importFrom("methods", "is")

NetworkComparisonTest.Rproj

@@ -14,4 +14,5 @@ LaTeX: pdfLaTeX
 
 BuildType: Package
 PackageUseDevtools: Yes
+PackageCleanBeforeInstall: Yes
 PackageInstallArgs: --no-multiarch --with-keep.source