version 1.0.1

DESCRIPTION

@@ -1,19 +1,19 @@
 Package: rfVarImpOOB
 Title: Unbiased Variable Importance for Random Forests
-Version: 1.0
-Date: 2019-03-22
+Version: 1.0.1
+Date: 2020-10-17
 Depends: R (>= 3.2.2), stats, randomForest
 Imports: ggplot2, binaryLogic, dplyr,titanic,prob,ggpubr,magrittr
 Suggests: knitr,rmarkdown
 Author: Markus Loecher <Markus.Loecher@gmail.com>
 Maintainer: Markus Loecher <Markus.Loecher@gmail.com>
-Description: Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also Strobl et al (2007) <doi:10.1186/1471-2105-8-25>, Strobl et al (2007) <doi:10.1016/j.csda.2006.12.030> and Breiman (2001) <DOI:10.1023/A:1010933404324>. 
+Description: Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi: 10.1080/03610926.2020.1764042>. 
     The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split.
     This gain is aggregated for each split variable in a tree and averaged across trees.
 License: GPL (>= 2)
 Repository: CRAN
 LazyData: true
 VignetteBuilder: knitr
 NeedsCompilation: no
-Packaged: 2019-04-05 12:30:07 UTC; loecherm
-Date/Publication: 2019-04-05 12:50:06 UTC
+Packaged: 2020-10-18 08:40:08 UTC; loecherm
+Date/Publication: 2020-10-18 09:00:02 UTC

MD5

@@ -1,15 +1,16 @@
-c4167422afb0ed7699160666f71d2b7b *DESCRIPTION
+4e083e5da97590c90082400f8913d548 *DESCRIPTION
 509fc06da5c156fe593494d5874b53e8 *NAMESPACE
 33a36e8472ef3b252c258073f673f391 *R/InOutBags.R
 2fc47a26497982c998a06f1ada0e0eb2 *R/LossFunctions.R
 2fa6fc45bd8f81128480b1b00c754aa8 *R/allFuns.R
 7bfd7a6b115d5a02d170991a1073fed3 *R/plotVI.R
-d5e96726362a089b4f19cc0ec2b45833 *build/vignette.rds
+f0058f80aa22f776f4da2e6f1312530f *build/vignette.rds
 8a77c8837d56301cf3378a3cd52e3d95 *data/arabidopsis.rda
 5c13dcaef01597d3acab3597dbc54f4f *data/titanic_train.rda
+86cc7afab6f8123bd14e2d12e6fe139f *inst/CITATION
 3e0aa94bd6ab65e84c92a1ff536614bf *inst/doc/rfVarImpOOB-vignette.R
-28130f0bf8c1ecae98a27dfb97c1a054 *inst/doc/rfVarImpOOB-vignette.Rmd
-345a7df24d1ccdeef30722a22d8bf0ea *inst/doc/rfVarImpOOB-vignette.html
+b881710efa0af8764aa96546b857b740 *inst/doc/rfVarImpOOB-vignette.Rmd
+e3a12326d3bd640fb3cd4aefb987b6b4 *inst/doc/rfVarImpOOB-vignette.html
 125fdfbae3c353f3b5798f01764ab15c *man/Accuracy.Rd
 f76b2a8042c7fcb4836a44f70f8a1477 *man/GiniImportanceForest.Rd
 3009f37a7f07b4e0c3f4dab9fd9d0a0b *man/GiniImportanceTree.Rd
@@ -26,4 +27,4 @@ e4aa8b6a7ba1fd97145299f0d0315e70 *man/preorder2.Rd
 714cb96bbcfc63bb1920a2852f3967bd *man/rfTitanic.Rd
 84f751e594eec74bfc0ba3e288676529 *man/splitBag.Rd
 6dc2cb14c3520377e957a7fa82d221b8 *man/titanic_train.Rd
-28130f0bf8c1ecae98a27dfb97c1a054 *vignettes/rfVarImpOOB-vignette.Rmd
+b881710efa0af8764aa96546b857b740 *vignettes/rfVarImpOOB-vignette.Rmd

inst/CITATION

@@ -0,0 +1,18 @@
+bibentry(bibtype = "Article",
+  title        = "Unbiased variable importance for random forests",
+  author       = c(person(given = "Markus",
+                          family = "Loecher")),
+  journal      = "Communications in Statistics-Theory and Methods",
+  year         = "2020",
+  volume       = "0",
+  number       = "0",
+  pages        = "1--13",
+  doi          = "10.1080/03610926.2020.1764042",
+
+  header       = "To rfVarImpOOB ranger in publications use:",
+  textVersion  =
+  paste("Loecher, Markus (2020).",
+        "Unbiased variable importance for random forests",
+        "Communications in Statistics-Theory and Methods, 1-13.",
+        "10.1080/03610926.2020.1764042")
+)

inst/doc/rfVarImpOOB-vignette.Rmd

@@ -4,7 +4,7 @@ author: "Markus Loecher"
 date: "`r Sys.Date()`"
 output: rmarkdown::html_vignette
 vignette: >
-  %\VignetteIndexEntry{Vignette Title}
+  %\VignetteIndexEntry{Unbiased Variable Importance }
   %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
 ---