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)

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)

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 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)

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)

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)