`ggconcurve()`

is now`ggcurve()`

.`ggcurve()`

plots confidence (consonance) distributions, densities, likelihood, and deviance functions.`plot_curve()`

is now deprecated. Please use`ggcurve()`

instead.`curve_compare()`

compares two functions and calculates the area between the curve.`plot_compare()`

allows two separate functions to be plotted and compared simultaneously.`curve_table()`

produces publication-ready tables of relevant statistics.`curve_boot()`

uses bootstrapping to approximate the consonance functions via the`boot`

and`bcaboot`

packages.`curve_lik()`

produces likelihood functions by transforming the objects from the`ProfileLikelihood`

package.

- All functions now provide progress on how long it will take to complete the task.
- Interval widths are now provided as measures of precision.

`ggconcurve()`

now plots both the P-values and CI level using both y-axes when the type = “consonance”. Previously, this was only possible via`plot_concurve()`

(which uses base R graphics) because`ggplot2`

had a bug in its last few versions, which inhibited proper transformations in the y-axis.

`plot_concurve()`

now has “measure” as an item which allows for ratio measures to be logarithmically scaled on the x axis. There are two options, “default”, which is set as the default option and is for mean differences, and “ratio”, which will result in the axis being logarithmically scaled.`plot_concurve()`

also now has a “fill” option which will allow users to choose the color of the plot.

- The
`plotpint()`

function which plotted consonance functions has been repackaged into`ggconcurve()`

. - The
`plotsint()`

function which plotted surprisal functions has been repackaged into`ggconcurve()`

. - Functions can now also be plotted with base R via the
`plot_concurve()`

function. - Consonance functions can be plotted as a pyramid (right side up) or inverted (upside down) via the “position” item in
`ggconcurve()`

. - Null values (for means & ratios) can be plotted via the
`ggconcurve()`

function to show how much of the interval surrounds it. - Log transformations included in all the plotting functions for ratio measures.
- Parallel programming has now been implemented into the computations via the
`mclapply()`

function from the*parallel*package.

- Can produce consonance and surprisal functions for correlations via the
`corrintervals()`

function. - Now able to construct consonance and surprisal functions from the point estiate, and confidence limits via the
`rev_eng()`

function. - Graphs produced via the
`plotpint()`

or`plotsint()`

function now able to take custom titles, subtitles, x-axis titles, and captions.

- Can now produce consonance and surprisal functions for survival data produced with the
`survival`

package.

- Now contains documentation for producing interval functons in
`Stata`

.

- Default plots now contain grids, title, subtitle, and a caption.
- Updated figures in README and the ‘Examples in R’ vignette/article.