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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")

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Version

Install

install.packages('vismi')

Version

0.9.5

License

GPL (>= 3)

Maintainer

Yongshi Deng

Last Published

February 3rd, 2026

Functions in vismi (0.9.5)

imp_newborn

Precomputed mixgb imputed datasets for `newborn`
trellis_vismi_overimp

Trelliscope Visualisation of Overimputation Diagnostics
trellis_vismi

Trelliscope Visualisation of Distributional Characteristics
print.vismi

print method for vismi objects
overimp

Overimpute main function
trellis_vismi_converge

Trelliscope Visualisation of Convergence Diagnostics
vismi_overimp

Visualise Multiple Imputation Through Overimputation
vismi_converge

Visualise convergence diagnostics
vismi

Visualise Multiple Imputations Through Distributional Characteristics
newborn

NHANES III (1988-1994) newborn data
vismi-package

vismi: Visual Diagnostics for Multiple Imputation
nhanes3

A small subset of the NHANES III (1988-1994) newborn data
imp_nhanes3

Precomputed mixgb imputed datasets for `nhanes3`