- The calculations for Pearson’s correlation coefficient now use the exact distribution described in a preprint by Gunnar Taraldsen (2020). This makes the use of the gsl package necessary because the calculations involve the Gaussian hypergeometric function (2F1). Warning: This can make the calculations drastically longer if a high value of
`n_values`

is used. - The function
`conf_dist`

now also calculates the proportion of the AUCC that lies above any specified null values. - Small changes in the help page for
`conf_dist`

.

- Fixed a bug concerning the calculation of Newcombe’s Wilson score interval with continuity correction for the difference of two proportions.
- Removed the “cairo” device from pngs in the vignette.

- The returned data frame is now sorted for convenience; this is purely cosmetic.
- Dependence on R increased to R version 3.5.0
- Added an option
`same_color`

to specify whether curves should be distinguished by colors or not if they are plotted together in the same graph. Can be useful if there are many curves plotted together. - Added an option
`plot_legend`

to specify whether a legend should be drawn if multiple curves are plotted together and distinguished by color (i.e.`same_color = FALSE`

and`together = TRUE`

). - Added an option
`col`

to specify the color of the curves if they are not to be distinguished by color (i.e.`same_color = FALSE`

). - Areas under the confidence curves (AUCC) according to Berrar (2017) are now calculated and returned. They offer a way to compare multiple estimates with respect to their precision. The AUCC is calculated on the untransformed scale using numerical integration (trapezoidal integration) implemented in the
`pracma`

package which is now imported. - Removed data link to external data (UCLA) in an example (odds ratio). Certificates for this site apparently expired.

- Vignette, README and DESCRIPTION updated to reflect that the newest version of ggplot2 (3.2.1) fixes the former bug with
`sec_axis`

. - Added an option
`plot`

to`conf_dist`

that controls whether a plot is created or not. If users want to create their own plots, they can set this option to`FALSE`

and use the returned data (`res_frame`

) which is the basis for the plots to create them.

- Added option
`inverted`

which allows users to plot p-value functions, s-value functions and confidence distributions with the y-axis inverted. - Added a new example showing a
*p*-value function for an odds ratio with an inverted y-axis (cf. Bender et al. 2005). - The option
`xlim`

is now strictly enforced: Any null values that are outside of the specified x-axis-limits are not plotted and a corresponding message is printed out as information. - Added new option
`x_scale`

to manually force the scaling of the x-axis. - Added two more examples in the vignette replicating Figure 1 and Figure 2 from Bender et al. (2005).
- Various smaller bug fixes and improvements: Fixed some checks, fixed plotting vertical lines for null values.

- NEWS file was converted to an .md file.
- Users can now provide a title for the plot (option
`title`

). - Users can now provide titles for the primary and secondary y-axis (options
`ylab`

and`ylab_sec`

). - Users can now specify the number of rows
`nrow`

and columns`ncol`

to be used in`facet_wrap`

(ggplot2) when multiple estimates are plotted separately (option`together = FALSE`

). - Changed some of the examples: Changed option
`log_yaxis = TRUE`

to`log_yaxis = FALSE`

. - Code: Changed logical checks
`x == TRUE`

and`x == FALSE`

to`isTRUE(x)`

and to`isFALSE(x)`

. - Code: Checked and improved/fixed some of the initial consistency/input checks that are performed at the beginning of the function.

- Added option
`plot_counternull`

to plot the counternull value(s) on the graphics if applicable and possible. - Effect sizes on the log-scale (e.g. Odds ratio, Hazard ratio, Incidence rate ratio) are now plotted on a logarithmic x-axis so that the p-value function is symmetric around the point estimate.
- The default is now to omit a logarithmic part of the y-axis.
- Warnings from ggplot2 are now suppressed during the function call.
- Not interesting for practitioners: Source code for creating the plots was cleaned up and more comments were added.

- Improved vignette with reduced figure size and several orthographic errors fixed. Added a new example (difference between proportions)
- New estimate type implemented: Difference between two independent proportions (
`type = "propdiff"`

) based on Wilson’s interval (see Newcombe (1998) for details)

- Initial release