Changes in robmed version 0.10.1
+ Updated package vignette.
Changes in robmed version 0.10.0
+ Added package vignette.
+ Added support for the serial multiple mediator model in bootstrap tests
based on regressions.
+ Moved shiny app in separate package 'robmedShiny':
https://github.com/aalfons/robmedShiny
+ Updated BSG2014 data with more variables.
+ Updated examples.
+ Removed superfluous package MASS from Suggests.
Changes in robmed version 0.9.0
+ Updated package dependencies.
+ retest() now uses values of original object as defaults for arguments
that are not supplied.
+ Added argument 'contrast' to fit_mediation() and test_mediation(), which
allows to test for differences of (absolute values) of indirect effects.
+ Bugfix in plots: order of different models, effects or methods is
preserved with R >= 4.0.0 (where data.frame() by default no longer
converts character strings to factors).
+ Added support for multiple independent variables to be mediated in
bootstrap tests based on regressions.
+ Removed demos from package.
Changes in robmed version 0.8.0
+ Changes in class structure regarding how effects are stored.
+ Added more unit tests.
+ Bugfix in setup_density_plot(): in case of multiple indirect effects,
the column "Effect" of the data frames is now a factor to preserve the
order in the plot.
+ Bugfix in setup_ellipse_plot() regarding checks of variables to be
plotted on vertical and horizontal axis.
+ Added functions setup_weight_plot() and weight_plot() to produce a
diagnostic plot of robust regression weights.
+ summary() method for robust boostrap tests with MM-regressions now by
default produces a diagnostic plot of robust regresssion weights.
Changes in robmed version 0.7.0
+ Removed deprecated functions and arguments.
+ fit_mediation() and test_mediation() now allow to fit regression models
with skew-normal, t or skew-t error distribtions.
+ p_value() now offers functionality in line with coef() and confint(),
but default behavior is kept for back-compatibility with previous
versions.
+ setup_ci_plot() and ci_plot() now allow to include information on
p-values in addition to confidence intervals.
Changes in robmed version 0.6.0
+ Added formula interface.
+ fit_mediation() now checks for variable type rather than converting all
variables to numeric.
+ fit_mediation() and test_mediation() now use 'robust = "median"' instead
of argument 'median'.
+ Renamed argument 'other' for type of confidence intervals to 'type'
and also changed possible values to match argument for extracting
coefficients.
+ New plot function ellipse_plot() for a diagnostic plot with a tolerance
ellipse.
+ dot_plot() has been renamed to ci_plot() and is now creating panels for
different effects instead of different methods.
+ density_plot() now uses argument 'fill' only for the filled rectangle
that illustrates the confidence interval, and allows to customize the
transparency of the confidence interval via argument 'alpha'.
+ Bugfix in density_plot(): avoids that duplicated or unknown arguments are
passed to geom()'s via the ... argument.
+ Functions ci_plot() and density_plot() are now exported and replace
plot_mediation().
+ New functions setup_ci_plot(), setup_density_plot() and
setup_ellipse_plot() to extract relevant information for plots.
+ fortify() and plot_mediation() are now deprecated.
+ Updated demos for empirical cases 2 and 3.
Changes in robmed version 0.5.0
+ Changed components 'c' and 'c_prime' to 'direct' and 'total',
respectively, to avoid confusion with different notation in different
papers.
+ Removed deprecated functions.
Changes in robmed version 0.4.0
+ Output of summaries restructured to be similar to PROCESS macro of Andrew
Hayes.
+ Wrapper function indirect() is now deprecated.
+ Added missing reference in help file of example data.
Changes in robmed version 0.3.0
+ Added method based on median regressions (Yuan & MacKinnon, 2014).
Changes in robmed version 0.2.0
+ Added shiny app for comparing bootstrap methods on simulated data with
outliers.
+ Added support for multiple mediators for standard and robust bootstrap
tests based on regressions.
+ Redesigned functions to live in the tidyverse: using under_scores instead
of camelCase; first argument of fit_mediation() and test_mediation() is a
data frame.
+ Added method based on robust regressions and fast and robust bootstrap,
which is the new default method.
+ Wrapper function indirect() now always uses the bootstrap test
Changes in robmed version 0.1.1
+ Bugfix in density plot: bootstrap replicates for indirect effect are now
correctly extracted.