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Update to mice 3.16.7
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stefvanbuuren committed Sep 22, 2023
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: mice
Type: Package
Version: 3.16.6
Version: 3.16.7
Title: Multivariate Imputation by Chained Equations
Date: 2023-09-07
Date: 2023-09-22
Authors@R: c(person("Stef", "van Buuren", role = c("aut","cre"),
email = "[email protected]"),
person("Karin", "Groothuis-Oudshoorn", role = "aut",
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7 changes: 7 additions & 0 deletions NEWS.md
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# mice 3.16.7

### Minor changes

* Solves problem with the package documentation link
* Simplifies `NEWS.md` formatting to get correct version sequence on CRAN and in-package NEWS

# mice 3.16.6

### Minor changes
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2 changes: 1 addition & 1 deletion README.Rmd
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[![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-3.16.6-orange.svg)](https://amices.org/mice/)
[![](https://img.shields.io/badge/github%20version-3.16.7-orange.svg)](https://amices.org/mice/)
<!-- badges: end -->

## [Multivariate Imputation by Chained Equations](https://amices.org/mice/)
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10 changes: 5 additions & 5 deletions README.md
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[![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-3.16.6-orange.svg)](https://amices.org/mice/)
[![](https://img.shields.io/badge/github%20version-3.16.7-orange.svg)](https://amices.org/mice/)
<!-- badges: end -->

## [Multivariate Imputation by Chained Equations](https://amices.org/mice/)
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# pool and summarize the results
summary(pool(fit))
#> term estimate std.error statistic df p.value
#> 1 (Intercept) 83.91 78.6 1.067 3.42 0.355
#> 2 age 13.61 17.6 0.774 1.84 0.526
#> 3 bmi 3.07 2.3 1.339 5.47 0.233
#> term estimate std.error statistic df p.value
#> 1 (Intercept) 9.08 73.09 0.124 4.50 0.9065
#> 2 age 35.23 17.46 2.017 1.36 0.2377
#> 3 bmi 4.69 1.94 2.417 15.25 0.0286
```

The complete-data is fit to each imputed dataset, and the results are
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