Updating to version 2.0.0

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: BranchGLM
 Type: Package
 Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
-Version: 1.3.2
-Date: 2022-10-03
+Version: 2.0.0
+Date: 2022-10-30
 Authors@R: person("Jacob", "Seedorff", , "jwseedorff@uiowa.edu", role = c("aut", "cre"))
 Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>
 URL: https://github.com/JacobSeedorff21/BranchGLM
@@ -14,9 +14,9 @@ Description: Performs efficient and scalable glm best
 	is available using 'OpenMP'.
 License: Apache License (>= 2)
 Depends: R (>= 3.3.0)
-Imports: Rcpp (>= 1.0.7), methods
+Imports: Rcpp (>= 1.0.7), methods, stats, graphics
 LinkingTo: Rcpp, RcppArmadillo, BH
-RoxygenNote: 7.2.0
+RoxygenNote: 7.2.1
 Encoding: UTF-8
 Suggests: 
     knitr,

NAMESPACE

@@ -10,16 +10,19 @@ S3method(Table,numeric)
 S3method(VariableSelection,BranchGLM)
 S3method(VariableSelection,formula)
 S3method(coef,BranchGLM)
+S3method(fit,summary.BranchGLMVS)
 S3method(logLik,BranchGLM)
 S3method(plot,BranchGLMROC)
+S3method(plot,summary.BranchGLMVS)
 S3method(predict,BranchGLM)
-S3method(predict,BranchGLMVS)
 S3method(print,BranchGLM)
 S3method(print,BranchGLMROC)
 S3method(print,BranchGLMTable)
 S3method(print,BranchGLMVS)
+S3method(print,summary.BranchGLMVS)
+S3method(summary,BranchGLMVS)
 import(stats)
-importFrom(graphics, abline, legend, lines)
+import(graphics)
 importFrom(methods, is)
 importFrom(Rcpp, evalCpp)
 export(AUC)
@@ -30,3 +33,4 @@ export(MultipleROCCurves)
 export(ROC)
 export(Table)
 export(VariableSelection)
+export(fit)

NEWS.md

@@ -1,6 +1,22 @@
 BranchGLM News
 ================
 
+# BranchGLM 2.0.0
+
+-   Added the following features to the `VariableSelection()` function
+    -   Finding the top k models according to the metric via the
+        bestmodels argument
+    -   Finding all models with a metric value within k of the best
+        metric value via the cutoff argument
+    -   Added HQIC as a possible metric, HQIC is the Hannan-Quinn
+        information criterion
+-   Added summary method for `BranchGLMVS` objects along with the
+    following functions
+    -   `plot.summary.BranchGLMVS()` for plotting results from variable
+        selection
+    -   `fit.summary.BranchGLMVS()` which can be used to get a
+        `BranchGLM` object for one of the best models found
+
 # BranchGLM 1.3.2
 
 -   Improving efficiency for the “branch and bound” and “switch branch