
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.
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()
You can install the current development version of vismi from GitHub with:
devtools::install_github("agnesdeng/vismi")