Update to mice 3.17.3

Author: stefvanbuuren

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: mice
 Type: Package
-Version: 3.17.2
+Version: 3.17.3
 Title: Multivariate Imputation by Chained Equations
-Date: 2025-3-10
+Date: 2025-3-28
 Authors@R: c(person("Stef", "van Buuren", role = c("aut","cre"),
     email = "stef.vanbuuren@tno.nl"),
     person("Karin", "Groothuis-Oudshoorn", role = "aut",

NEWS.md

@@ -1,3 +1,7 @@
+# mice 3.17.3
+
+* Allow for negative adjusted R2 in `pool.r.squared()` (#700)
+
 # mice 3.17.2
 
 * Adds clean-ups:

README.Rmd

@@ -23,7 +23,7 @@ set.seed(1)
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/mice)](https://cran.r-project.org/package=mice)
 [![](https://cranlogs.r-pkg.org/badges/mice)](https://cran.r-project.org/package=mice)
 [![R-CMD-check](https://github.com/amices/mice/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/amices/mice/actions/workflows/R-CMD-check.yaml)
-[![](https://img.shields.io/badge/github%20version-3.17.2-orange.svg)](https://amices.org/mice/)
+[![](https://img.shields.io/badge/github%20version-3.17.3-orange.svg)](https://amices.org/mice/)
 <!-- badges: end -->
 
 ## [Multivariate Imputation by Chained Equations](https://amices.org/mice/)

README.md

@@ -7,7 +7,7 @@
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/mice)](https://cran.r-project.org/package=mice)
 [![](https://cranlogs.r-pkg.org/badges/mice)](https://cran.r-project.org/package=mice)
 [![R-CMD-check](https://github.com/amices/mice/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/amices/mice/actions/workflows/R-CMD-check.yaml)
-[![](https://img.shields.io/badge/github%20version-3.17.2-orange.svg)](https://amices.org/mice/)
+[![](https://img.shields.io/badge/github%20version-3.17.3-orange.svg)](https://amices.org/mice/)
 <!-- badges: end -->
 
 ## [Multivariate Imputation by Chained Equations](https://amices.org/mice/)
@@ -70,10 +70,10 @@ The table and the graph summarize where the missing data occur in the
 imp <- mice(nhanes, maxit = 2, m = 2, seed = 1)
 #> 
 #>  iter imp variable
-#>   1   1  age  bmi  hyp  chl
-#>   1   2  age  bmi  hyp  chl
-#>   2   1  age  bmi  hyp  chl
-#>   2   2  age  bmi  hyp  chl
+#>   1   1  bmi  hyp  chl
+#>   1   2  bmi  hyp  chl
+#>   2   1  bmi  hyp  chl
+#>   2   2  bmi  hyp  chl
 
 # inspect quality of imputations
 stripplot(imp, chl, pch = 19, xlab = "Imputation number")