Update README, other minor changes

.Rbuildignore

@@ -1,17 +1,17 @@
-^.*\.Rproj$
-^\.Rproj\.user$
-^appveyor\.yml$
-^\.travis\.yml$
-^codecov\.yml$
-cran-comments.md
-LICENSE.md
-README.md
-^CRAN-RELEASE$
-^_pkgdown\.yml$
-^docs$
-^pkgdown$
-docs/*
-^\.github$
-^doc$
-^Meta$
-^CRAN-SUBMISSION$
+^.*\.Rproj$
+^\.Rproj\.user$
+^appveyor\.yml$
+^\.travis\.yml$
+^codecov\.yml$
+cran-comments.md
+LICENSE.md
+README.md
+^CRAN-RELEASE$
+^_pkgdown\.yml$
+^docs$
+^pkgdown$
+docs/*
+^\.github$
+^doc$
+^Meta$
+^CRAN-SUBMISSION$

CRAN-SUBMISSION

@@ -1,3 +1,2 @@
-Version: 2.3.1
-Date: 2022-12-09 16:45:46 UTC
-SHA: 99c427465eddd318782f6b583edadf36e2277b99
+Version: 2.3.3
+Date: 2023-08-28 20:46:13 UTC

DESCRIPTION

@@ -1,68 +1,68 @@
-Package: vimp
-Type: Package
-Title: Perform Inference on Algorithm-Agnostic Variable Importance
-Version: 2.3.3
-Authors@R:
-    c(person(given = "Brian D.",
-             family = "Williamson",
-             role = c("aut", "cre"),
-             email = "[email protected]",
-             comment = c(ORCID = "0000-0002-7024-548X")),
-      person(given = "Jean",
-             family = "Feng",
-             role = "ctb"),
-      person(given = "Charlie",
-             family = "Wolock",
-             role = "ctb"),
-      person(given = "Noah",
-             family = "Simon",
-             role = "ths",
-             comment = c(ORCID = "0000-0002-8985-2474")),
-      person(given = "Marco",
-             family = "Carone",
-             role = "ths",
-             comment = c(ORCID = "0000-0003-2106-0953")))
-Description: Calculate point estimates of and valid confidence intervals for
-    nonparametric, algorithm-agnostic variable importance measures in high and low dimensions,
-    using flexible estimators of the underlying regression functions. For more information
-    about the methods, please see Williamson et al. (Biometrics, 2020),  Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).
-Depends:
-    R (>= 3.1.0)
-Imports:
-    SuperLearner,
-    stats,
-    dplyr,
-    magrittr,
-    ROCR,
-    tibble,
-    rlang,
-    MASS,
-    boot,
-    data.table
-Suggests:
-    knitr,
-    rmarkdown,
-    gam,
-    xgboost,
-    glmnet,
-    ranger,
-    polspline,
-    quadprog,
-    covr,
-    testthat,
-    ggplot2,
-    cowplot,
-    cvAUC,
-    tidyselect,
-    WeightedROC,
-    purrr,
-    boot
-License: MIT + file LICENSE
-URL: https://bdwilliamson.github.io/vimp/,
-    https://github.com/bdwilliamson/vimp,
-    http://bdwilliamson.github.io/vimp/
-BugReports: https://github.com/bdwilliamson/vimp/issues
-RoxygenNote: 7.2.3
-VignetteBuilder: knitr
-LazyData: true
-Encoding: UTF-8
+Package: vimp
+Type: Package
+Title: Perform Inference on Algorithm-Agnostic Variable Importance
+Version: 2.3.3
+Authors@R:
+    c(person(given = "Brian D.",
+             family = "Williamson",
+             role = c("aut", "cre"),
+             email = "[email protected]",
+             comment = c(ORCID = "0000-0002-7024-548X")),
+      person(given = "Jean",
+             family = "Feng",
+             role = "ctb"),
+      person(given = "Charlie",
+             family = "Wolock",
+             role = "ctb"),
+      person(given = "Noah",
+             family = "Simon",
+             role = "ths",
+             comment = c(ORCID = "0000-0002-8985-2474")),
+      person(given = "Marco",
+             family = "Carone",
+             role = "ths",
+             comment = c(ORCID = "0000-0003-2106-0953")))
+Description: Calculate point estimates of and valid confidence intervals for
+    nonparametric, algorithm-agnostic variable importance measures in high and low dimensions,
+    using flexible estimators of the underlying regression functions. For more information
+    about the methods, please see Williamson et al. (Biometrics, 2020),  Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).
+Depends:
+    R (>= 3.1.0)
+Imports:
+    SuperLearner,
+    stats,
+    dplyr,
+    magrittr,
+    ROCR,
+    tibble,
+    rlang,
+    MASS,
+    boot,
+    data.table
+Suggests:
+    knitr,
+    rmarkdown,
+    gam,
+    xgboost,
+    glmnet,
+    ranger,
+    polspline,
+    quadprog,
+    covr,
+    testthat,
+    ggplot2,
+    cowplot,
+    cvAUC,
+    tidyselect,
+    WeightedROC,
+    purrr,
+    boot
+License: MIT + file LICENSE
+URL: https://bdwilliamson.github.io/vimp/,
+    https://github.com/bdwilliamson/vimp,
+    http://bdwilliamson.github.io/vimp/
+BugReports: https://github.com/bdwilliamson/vimp/issues
+RoxygenNote: 7.2.3
+VignetteBuilder: knitr
+LazyData: true
+Encoding: UTF-8