compare: Shows plots for the comparison of estimates
In akreutzmann/fayherriot:

For all indicators or a selection of indicators two plots are returned. The first plot is a scatter plot of estimates to compare and the second is a line plot with these estimates.

1	compare(object, indicator, MSE, CV, ...)

`indicator`	optional character vector that selects which indicators shall be returned: (i) all calculated indicators ("all"); (ii) each indicator name: "Mean", "Quantile_10", "Quantile_25", "Median", "Quantile_75", "Quantile_90", "Head_Count", "Poverty_Gap", "Gini", "Quintile_Share" or the function name/s of "custom_indicator/s"; (iii) groups of indicators: "Quantiles", "Poverty", "Inequality" or "Custom".If two of these groups are selected, only the first one is returned. Defaults to "all". Note, additional custom indicators can be defined as argument for model-based approaches (see also `ebp`) and do not appear in groups of indicators even though these might belong to one of the groups.
`direct`	optional, an object of type "emdi","direct", representing point and MSE estimates.
`model`	an object of type "emdi","model", representing point and MSE estimates.
`label`	argument that enables to customize title and axis labels. There are three options to label the evaluation plots: (i) original labels ("orig"), (ii) axis lables but no title ("no_title"), (iii) neither axis labels nor title ("blank").
`color`	a vector with two elements. The first color determines the color of the line in the scatter plot and the color for the direct estimates in the line plot. The second color specifies the color of the line for the model-based estimates.
`shape`	a numeric vector with two elements. The first shape determines the shape of the points in the line plot for the direct estimates and the second shape for the model-based estimates. The options are numbered from 0 to 25.
`line_type`	a character vector with two elements. The first line type determines the type of the line for the direct estimates and the second type for the model-based estimates. The options are: "twodash", "solid", "longdash", "dotted", "dotdash", "dashed" and "blank".
`gg_theme`	`theme` list from package ggplot2. For using this argument, package ggplot2 must be loaded via `library(ggplot2)`. See also Example 2.