version 3.9.0

cran · Oct 6, 2019 · d74faf1 · d74faf1
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,12 +1,12 @@
 Package: cobalt
 Title: Covariate Balance Tables and Plots
-Version: 3.8.0
+Version: 3.9.0
 Author: Noah Greifer [aut, cre]
 Maintainer: Noah Greifer <noah.greifer@gmail.com>
 Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
 Depends: R (>= 3.3.0)
-Imports: ggplot2 (>= 3.0.0), grid (>= 3.6.1), gtable (>= 0.3.0),
-        gridExtra (>= 2.3.0), ggstance, crayon, backports (>= 1.1.1)
+Imports: ggplot2 (>= 3.0.0), grid, gtable (>= 0.3.0), gridExtra (>=
+        2.3.0), ggstance, crayon, backports (>= 1.1.1)
 Suggests: MatchIt, WeightIt (>= 0.5.0), twang, Matching, optmatch,
         ebal, CBPS (>= 0.17), designmatch, optweight, mice, mlogit (>=
         0.3-0), knitr, rmarkdown
@@ -17,6 +17,6 @@ VignetteBuilder: knitr
 URL: https://github.com/ngreifer/cobalt
 BugReports: https://github.com/ngreifer/cobalt/issues
 NeedsCompilation: no
-Packaged: 2019-09-11 22:25:54 UTC; NoahGreifer
+Packaged: 2019-10-06 18:40:11 UTC; NoahGreifer
 Repository: CRAN
-Date/Publication: 2019-09-12 05:30:09 UTC
+Date/Publication: 2019-10-06 19:10:02 UTC
diff --git a/MD5 b/MD5
@@ -1,48 +1,53 @@
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-70e5b2af4c6689abc8eb18c450251caa *NAMESPACE
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-5d6d9c440f9eca36844c0b630e3fd0bd *man/bal.tab.matchit.Rd
-55f1e578f12bb204f1355b850b560dc9 *man/bal.tab.ps.Rd
-d5ae6363cc18c5dbae416042143025a4 *man/bal.tab.weightit.Rd
+b9c6c887617cd15ef9e6a5cfdcb9f5c0 *man/bal.tab.df.formula.Rd
+68c91eb85591a65eda1234a208f4ca4d *man/bal.tab.df.formula.list.Rd
+f5e365856ed5fb53123f9c07280c4b03 *man/bal.tab.matchit.Rd
+15f7d88d16cede16ef5f55302981d0a3 *man/bal.tab.ps.Rd
+fb151f52c08bdbc9be36a0b9ab69d33e *man/bal.tab.weightit.Rd
+f3c19a671a00f83e955c039e3412ef08 *man/balance.summary.Rd
 b45d5c21b799d1cd63c1c64d5936b46a *man/class-bal.tab.cluster.Rd
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 1ad72e1e4ae6218dce6b6e36ecf3745f *man/class-bal.tab.msm.Rd
@@ -51,14 +56,15 @@ f13017b34e5f0754c7de55719f7e00bb *man/class-bal.tab.multi.Rd
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 ece3fdbbc7e4ed2ca03b622c22b0cf84 *man/splitfactor.Rd
 05a7e465db294a53fcc2eeddf8df06d3 *man/var.names.Rd
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 9d90692ada3d40403c2b5c084b5ac9f3 *vignettes/cobalt_A1_other_packages.Rmd
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 e7f0e422126acc5e28e6a6d44d8e8e0a *vignettes/cobalt_A3_longitudinal_treat.Rmd
+b2bd7809f9c62cfd6fc4e0d9b28b6ade *vignettes/cobalt_A4_love.plot.Rmd
diff --git a/NAMESPACE b/NAMESPACE
@@ -9,11 +9,10 @@ importFrom("gtable", "gtable_col", "gtable_add_cols", "gtable_add_rows",
 importFrom("gridExtra", "arrangeGrob", "gtable_cbind", "gtable_rbind")
 importFrom("ggstance", "position_dodgev")
 
-if (getRversion() < "3.5.0") importFrom("backports", "...elt", "...length")
-
 export(bal.tab, bal.plot, love.plot, f.build, splitfactor, 
        unsplitfactor, get.w, var.names, set.cobalt.options,
-       get.cobalt.options)
+       get.cobalt.options,
+       col_w_mean, col_w_sd, col_w_smd, col_w_vr, col_w_ks, col_w_ovl, col_w_corr)
 S3method(print, bal.tab)
 S3method(print, bal.tab.subclass)
 S3method(print, bal.tab.cluster)

diff --git a/NEWS.md b/NEWS.md
@@ -1,6 +1,22 @@
 `cobalt` News and Updates
 ======
 
+Version 3.9.0
+
+* Added vignette for use of `love.plot`.
+
+* Changed `grid` version requirement.
+
+* Updated README.
+
+* Fixed bugs that would occur when using `love.plot()` with various combinations of `var.order`, multiple `stats`, and `agg.fun = "range"`.
+
+* Fixed bugs that would occur when using `bal.tab()` with objects from the `Matching` package. Calculated statistics are now the same as those generated using `Matching::MatchBalance`. Changes based on updates to `get.w.Match()`.
+
+* Added balance summary functions `col_w_mean`, `col_w_sd`, `col_w_smd`, `col_w_vr`, `col_w_ks`, `col_w_ovl`, and `col_w_corr`. These make it easier to get quick, simple summaries of balance without calling `bal.tab`, for example, for use in programming other functions. Some of these are now used inside `bal.tab` to increase speed and simplify internal syntax.
+
+* Other small bug fixes.
+
 Version 3.8.0
 
 * Added the ability to display balance on multiple measures (e.g., mean differences, variance ratios, KS statistics) at the same time with `love.plot()`.