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ggmice 0.1.1

New features

• New function plot_miss() visualizes missing data indicator matrix (#123)
• New plot_trace() argument legend hides plot legend when set to FALSE (#165)
• plot_pred() now allows mice::mids objects as input data type (#132)
• New plot_trace() argument trend adds a trend line to plot when set to TRUE (#140)

Bug fixes

• plot_pred() now correct labels predictor matrix entries -3, 3 and 4 as ‘exclusion-restriction’, ‘fixed effect’ and ‘random effect’ variables respectively (#128, #169)
• All plot_*() functions now parse vrb argument to recognize variable name(s) from object in global environment using !! notation (#157)

Minor changes

• Miscellaneous documentation and vignette updates (#128, #165, #169)

ggmice 0.1.0

Breaking changes

• Default plotting behavior plot_pattern() creates missing data pattern plot with square tiles (#74)
• Default plotting behavior plot_pred() creates predictor matrix plot with colored tiles and shows predictor values (#71, #74)

New features

• New optional argument plot_pred() shows methods vector with predictor matrix plot (#71)
• New optional argument plot_pattern() hides less frequent patterns (#77)
• New optional argument plot_pattern() hides legend caption (#111)

Bug fixes

• The ggmice() function now displays all imputed data (incl. over-imputed data; #54)
• The ggmice() function now catches errors when mapping input contains log-transformation (#80)
• The family of plot_* functions now handle vector inputs for vrb argument (#80)
• The family of plot_* functions now handle matrix inputs for data argument (#108)
• The family of plot_* functions now omit grid lines from tile plots (#35)
• The plot_pattern() function now handles any data.frame input for data argument (#38, #77, #104, #112)

Minor changes

• Input validation for data argument plot_* functions (#85)
• Input validation for vrb argument plot_* functions (#80)
• Input validation for mapping argument ggmice() (#34, #90)
• Vignette updates (#31, #35, #38) and other documentation (#45, #51)
• The plot_pattern() function creates missing data pattern plot with more informative labels (#59, #111)

ggmice 0.0.1

• First release of the package.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.