Visual Diagnostics for Multiple Imputation

A comprehensive suite of static and interactive visual diagnostics for assessing the quality of multiply-imputed data obtained from packages such as 'mixgb' and 'mice'. The package supports inspection of distributional characteristics, diagnostics based on masking observed values and comparing them with re-imputed values, and convergence diagnostics.

vismi

The R package vismi (Visual Diagnostics for Multiple Imputation) provides a comprehensive suite of visual diagnostics for assessing the quality of multiply imputed data. The package supports imputed data generated by various multiple imputation methods, including mixgb, mice, and more.

Overview

The package has been completely redesigned. Please check Articles section for more details.

• vismi(): visualise multiply-imputed missing data through distributional characteristics

• vismi_overimp(): visualise multiply-imputed missing data through overimputation

• vismi_converge(): visualise convergence diagnostics for imputed values of an incomplete variable

With the support of trelliscopejs, vismi provides trelliscope displays to inspect all variables at once via

• trellis_vismi()

• trellis_vismi_overimp()

• trellis_vismi_converge()

Installation

You can install the current development version of vismi from GitHub with:

devtools::install_github("agnesdeng/vismi")