Prep for submission

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: WeightIt
 Type: Package
 Title: Weighting for Covariate Balance in Observational Studies
-Version: 1.2.1
+Version: 1.3.0
 Authors@R: c(
     person("Noah", "Greifer", role=c("aut", "cre"), 
            email = "noah.greifer@gmail.com",
@@ -22,7 +22,7 @@ Imports:
     ggplot2 (>= 3.3.0),
     chk (>= 0.9.2),
     rlang (>= 1.1.0),
-    crayon,
+    crayon (>= 1.3.4),
     generics,
     utils,
     stats

NAMESPACE

@@ -31,12 +31,18 @@ S3method(print,summary.weightit.sbps)
 S3method(print,summary.weightitMSM)
 S3method(print,weightit)
 S3method(print,weightitMSM)
+S3method(stats::anova,coxph_weightit)
+S3method(stats::anova,glm_weightit)
+S3method(stats::anova,multinom_weightit)
+S3method(stats::anova,ordinal_weightit)
 S3method(stats::confint,coxph_weightit)
 S3method(stats::confint,glm_weightit)
 S3method(stats::confint,multinom_weightit)
 S3method(stats::confint,ordinal_weightit)
 S3method(stats::model.matrix,multinom_weightit)
 S3method(stats::model.matrix,ordinal_weightit)
+S3method(stats::nobs,multinom_weightit)
+S3method(stats::nobs,ordinal_weightit)
 S3method(stats::vcov,coxph_weightit)
 S3method(stats::vcov,glm_weightit)
 S3method(stats::vcov,multinom_weightit)

NEWS.md

@@ -1,7 +1,9 @@
 WeightIt News and Updates
 ======
 
-# `WeightIt` 1.2.1
+# `WeightIt` 1.3.0
+
+* Added `anova()` methods for `glm_weightit`, `multinom_weightit`, `ordinal_weightit`, and `coxph_weightit` objects to perform Wald tests for comparing nested models. The models do not have to be symbolically nested.
 
 * Added the new user-facing object `.weightit_methods`, which contains information on each method and the options allowed with it. This is used within `WeightIt` for checking arguments but can also be used by other package developers who call functions in `WeightIt`. See `help(".weightit_methods")` for details.
 
@@ -11,6 +13,8 @@ WeightIt News and Updates
 
 * `moments` can now be set to 0 when `quantile` is supplied to ensure balance on the quantiles without the moments for the methods that accepts `quantiles`. Thanks to @BERENZ for the suggestion.
 
+* Fixed a bug in `ordinal_weightit()` where the Hessian (and therefore the HC0 robust variance) were calculated incorrectly when come coefficients were aliased (i.e., due to linearly dependent predictors).
+
 * Fixes to vignettes and tests to satisfy CRAN checks.
 
 * Minor bug, performance, and readability fixes.